David Haussler

	2012
135		Kate R. Rosenbloom, Timothy R. Dreszer, Jeffrey C. Long, Venkat S. Malladi, Cricket A. Sloan, Brian J. Raney, Melissa S. Cline, Donna Karolchik, Galt P. Barber, Hiram Clawson, Mark Diekhans, Pauline A. Fujita, Mary Goldman, Robert C. Gravell, Rachel A. Harte, Angie S. Hinrichs, Vanessa Kirkup, Robert M. Kuhn, Katrina Learned, Morgan Maddren, Laurence R. Meyer, Andy Pohl, Brooke L. Rhead, Matthew C. Wong, Ann S. Zweig, David Haussler, W. James Kent: ENCODE whole-genome data in the UCSC Genome Browser: update 2012. Nucleic Acids Research 40(Database-Issue): 912-917 (2012)
134		Timothy R. Dreszer, Donna Karolchik, Ann S. Zweig, Angie S. Hinrichs, Brian J. Raney, Robert M. Kuhn, Laurence R. Meyer, Mathew Wong, Cricket A. Sloan, Kate R. Rosenbloom, Greg Roe, Brooke L. Rhead, Andy Pohl, Venkat S. Malladi, Chin H. Li, Katrina Learned, Vanessa Kirkup, Fan Hsu, Rachel A. Harte, Luvina Guruvadoo, Mary Goldman, Belinda Giardine, Pauline A. Fujita, Mark Diekhans, Melissa S. Cline, Hiram Clawson, Galt P. Barber, David Haussler, W. James Kent: The UCSC Genome Browser database: extensions and updates 2011. Nucleic Acids Research 40(Database-Issue): 918-923 (2012)
	2011
133		David Haussler: Cancer genomics. KDD 2011: 3-4
132		Krishna M. Roskin, Benedict Paten, David Haussler: Meta-Alignment with Crumble and Prune: Partitioning very large alignment problems for performance and parallelization. BMC Bioinformatics 12: 144 (2011)
131		Brian J. Raney, Melissa S. Cline, Kate R. Rosenbloom, Timothy R. Dreszer, Katrina Learned, Galt P. Barber, Laurence R. Meyer, Cricket A. Sloan, Venkat S. Malladi, Krishna M. Roskin, Bernard B. Suh, Angie S. Hinrichs, Hiram Clawson, Ann S. Zweig, Vanessa Kirkup, Pauline A. Fujita, Brooke L. Rhead, Kayla E. Smith, Andy Pohl, Robert M. Kuhn, Donna Karolchik, David Haussler, W. James Kent: ENCODE whole-genome data in the UCSC genome browser (2011 update). Nucleic Acids Research 39(Database-Issue): 871-875 (2011)
130		Pauline A. Fujita, Brooke L. Rhead, Ann S. Zweig, Angie S. Hinrichs, Donna Karolchik, Melissa S. Cline, Mary Goldman, Galt P. Barber, Hiram Clawson, Antonio Coelho, Mark Diekhans, Timothy R. Dreszer, Belinda Giardine, Rachel A. Harte, Jennifer Hillman-Jackson, Fan Hsu, Vanessa Kirkup, Robert M. Kuhn, Katrina Learned, Chin H. Li, Laurence R. Meyer, Andy Pohl, Brian J. Raney, Kate R. Rosenbloom, Kayla E. Smith, David Haussler, W. James Kent: The UCSC Genome Browser database: update 2011. Nucleic Acids Research 39(Database-Issue): 876-882 (2011)
129		J. Zachary Sanborn, Stephen C. Benz, Brian Craft, Christopher Szeto, Kord M. Kober, Laurence R. Meyer, Charles J. Vaske, Mary Goldman, Kayla E. Smith, Robert M. Kuhn, Donna Karolchik, W. James Kent, Joshua M. Stuart, David Haussler, Jingchun Zhu: The UCSC cancer genomics browser: update 2011. Nucleic Acids Research 39(Database-Issue): 951-959 (2011)
	2010
128		Benedict Paten, Mark Diekhans, Dent Earl, John St. John, Jian Ma, Bernard B. Suh, David Haussler: Cactus Graphs for Genome Comparisons. RECOMB 2010: 410-425
127		Charles J. Vaske, Stephen C. Benz, J. Zachary Sanborn, Dent Earl, Christopher Szeto, Jingchun Zhu, David Haussler, Joshua M. Stuart: Inference of patient-specific pathway activities from multi-dimensional cancer genomics data using PARADIGM. Bioinformatics [ISMB] 26(12): 237-245 (2010)
126		Brooke L. Rhead, Donna Karolchik, Robert M. Kuhn, Angie S. Hinrichs, Ann S. Zweig, Pauline A. Fujita, Mark Diekhans, Kayla E. Smith, Kate R. Rosenbloom, Brian J. Raney, Andy Pohl, Michael Pheasant, Laurence R. Meyer, Katrina Learned, Fan Hsu, Jennifer Hillman-Jackson, Rachel A. Harte, Belinda Giardine, Timothy R. Dreszer, Hiram Clawson, Galt P. Barber, David Haussler, W. James Kent: The UCSC Genome Browser database: update 2010. Nucleic Acids Research 38(Database-Issue): 613-619 (2010)
125		Kate R. Rosenbloom, Timothy R. Dreszer, Michael Pheasant, Galt P. Barber, Laurence R. Meyer, Andy Pohl, Brian J. Raney, Ting Wang, Angie S. Hinrichs, Ann S. Zweig, Pauline A. Fujita, Katrina Learned, Brooke L. Rhead, Kayla E. Smith, Robert M. Kuhn, Donna Karolchik, David Haussler, W. James Kent: ENCODE whole-genome data in the UCSC Genome Browser. Nucleic Acids Research 38(Database-Issue): 620-625 (2010)
	2009
124		Robert M. Kuhn, Donna Karolchik, Ann S. Zweig, Ting Wang, Kayla E. Smith, Kate R. Rosenbloom, Brooke L. Rhead, Brian J. Raney, Andy Pohl, Michael Pheasant, Laurence R. Meyer, Fan Hsu, Angela S. Hinrichs, Rachel A. Harte, Belinda Giardine, Pauline A. Fujita, Mark Diekhans, Timothy R. Dreszer, Hiram Clawson, Galt P. Barber, David Haussler, W. James Kent: The UCSC Genome Browser Database: update 2009. Nucleic Acids Research 37(Database-Issue): 755-761 (2009)
	2008
123		David Haussler: Computing how we became human. STOC 2008: 639-640
122		Mario Stanke, Mark Diekhans, Robert Baertsch, David Haussler: Using native and syntenically mapped cDNA alignments to improve de novo gene finding. Bioinformatics 24(5): 637-644 (2008)
121		Jian Ma, Aakrosh Ratan, Brian J. Raney, Bernard B. Suh, Louxin Zhang, Webb Miller, David Haussler: DUPCAR: Reconstructing Contiguous Ancestral Regions with Duplications. Journal of Computational Biology 15(8): 1007-1027 (2008)
120		Donna Karolchik, Robert M. Kuhn, Robert Baertsch, Galt P. Barber, Hiram Clawson, Mark Diekhans, Belinda Giardine, Rachel A. Harte, Angela S. Hinrichs, Fan Hsu, Kord M. Kober, Webb Miller, Jakob Skou Pedersen, Andy Pohl, Brian J. Raney, Brooke L. Rhead, Kate R. Rosenbloom, Kayla E. Smith, Mario Stanke, Archana Thakkapallayil, Heather Trumbower, Ting Wang, Ann S. Zweig, David Haussler, W. James Kent: The UCSC Genome Browser Database: 2008 update. Nucleic Acids Research 36(Database-Issue): 773-779 (2008)
	2007
119		Jian Ma, Aakrosh Ratan, Louxin Zhang, Webb Miller, David Haussler: A Heuristic Algorithm for Reconstructing Ancestral Gene Orders with Duplications. RECOMB-CG 2007: 122-135
118		Daryl J. Thomas, Kate R. Rosenbloom, Hiram Clawson, Angie S. Hinrichs, Heather Trumbower, Brian J. Raney, Donna Karolchik, Galt P. Barber, Rachel A. Harte, Jennifer Hillman-Jackson, Robert M. Kuhn, Brooke L. Rhead, Kayla E. Smith, Archana Thakkapallayil, Ann S. Zweig, David Haussler, W. James Kent: The ENCODE Project at UC Santa Cruz. Nucleic Acids Research 35(Database-Issue): 663-667 (2007)
117		Robert M. Kuhn, Donna Karolchik, Ann S. Zweig, Heather Trumbower, Daryl J. Thomas, Archana Thakkapallayil, Charles W. Sugnet, Mario Stanke, Kayla E. Smith, Adam C. Siepel, Kate R. Rosenbloom, Brooke L. Rhead, Brian J. Raney, Andy Pohl, Jakob Skou Pedersen, Fan Hsu, Angela S. Hinrichs, Rachel A. Harte, Mark Diekhans, Hiram Clawson, Gill Bejerano, Galt P. Barber, Robert Baertsch, David Haussler, W. James Kent: The UCSC genome browser database: update 2007. Nucleic Acids Research 35(Database-Issue): 668-673 (2007)
116		Daryl J. Thomas, Heather Trumbower, Andrew D. Kern, Brooke L. Rhead, Robert M. Kuhn, David Haussler, W. James Kent: Variation resources at UC Santa Cruz. Nucleic Acids Research 35(Database-Issue): 716-720 (2007)
115		Chen-Hsiang Yeang, David Haussler: Detecting Coevolution in and among Protein Domains. PLoS Computational Biology 3(11): (2007)
114		Jingchun Zhu, J. Zachary Sanborn, Mark Diekhans, Craig B. Lowe, Tom H. Pringle, David Haussler: Comparative Genomics Search for Losses of Long-Established Genes on the Human Lineage. PLoS Computational Biology 3(12): (2007)
	2006
113		Adam C. Siepel, Katherine S. Pollard, David Haussler: New Methods for Detecting Lineage-Specific Selection. RECOMB 2006: 190-205
112		David Haussler: Ultraconserved Elements, Living Fossil Transposons, and Rapid Bursts of Change: Reconstructing the Uneven Evolutionary History of the Human Genome. RECOMB 2006: 336-337
111		Jeremy Darot, Chen-Hsiang Yeang, David Haussler: Detecting the Dependent Evolution of Biosequences. RECOMB 2006: 595-609
110		Fan Hsu, W. James Kent, Hiram Clawson, Robert M. Kuhn, Mark Diekhans, David Haussler: The UCSC Known Genes. Bioinformatics 22(9): 1036-1046 (2006)
109		Jing Wu, David Haussler: Coding Exon Detection Using Comparative Sequences. Journal of Computational Biology 13(6): 1148-1164 (2006)
108		Angela S. Hinrichs, Donna Karolchik, Robert Baertsch, Galt P. Barber, Gill Bejerano, Hiram Clawson, Mark Diekhans, Terrence S. Furey, Rachel A. Harte, Fan Hsu, Jennifer Hillman-Jackson, Robert M. Kuhn, Jakob Skou Pedersen, Andy Pohl, Brian J. Raney, Kate R. Rosenbloom, Adam C. Siepel, Kayla E. Smith, Charles W. Sugnet, A. Sultan-Qurraie, Daryl J. Thomas, Heather Trumbower, R. J. Weber, M. Weirauch, Ann S. Zweig, David Haussler, W. James Kent: The UCSC Genome Browser Database: update 2006. Nucleic Acids Research 34(Database-Issue): 590-598 (2006)
107		Charles W. Sugnet, Karpagam Srinivasan, Tyson Clark, Georgeann O'Brien, Melissa S. Cline, Hui Wang, Alan Williams, David Kulp, John Blume, David Haussler, Manuel Ares: Unusual Intron Conservation near Tissue-Regulated Exons Found by Splicing Microarrays. PLoS Computational Biology 2(1): (2006)
106		Jakob Skou Pedersen, Gill Bejerano, Adam C. Siepel, Kate R. Rosenbloom, Kerstin Lindblad-Toh, Eric S. Lander, Jim Kent, Webb Miller, David Haussler: Identification and Classification of Conserved RNA Secondary Structures in the Human Genome. PLoS Computational Biology 2(4): (2006)
	2005
105		Rachel Karchin, Mark Diekhans, Libusha Kelly, Daryl J. Thomas, Ursula Pieper, Narayanan Eswar, David Haussler, Andrej Sali: LS-SNP: large-scale annotation of coding non-synonymous SNPs based on multiple information sources. Bioinformatics 21(12): 2814-2820 (2005)
104		Fan Hsu, Tom H. Pringle, Robert M. Kuhn, Donna Karolchik, Mark Diekhans, David Haussler, W. James Kent: The UCSC Proteome Browser. Nucleic Acids Research 33(Database-Issue): 454-458 (2005)
	2004
103		Vladimir Jojic, Nebojsa Jojic, Christopher Meek, Dan Geiger, Adam C. Siepel, David Haussler, David Heckerman: Efficient approximations for learning phylogenetic HMM models from data. ISMB/ECCB (Supplement of Bioinformatics) 2004: 161-168
102		Gill Bejerano, David Haussler, Mathieu Blanchette: Into the heart of darkness: large-scale clustering of human non-coding DNA. ISMB/ECCB (Supplement of Bioinformatics) 2004: 40-48
101		Charles W. Sugnet, W. James Kent, Manuel Ares, David Haussler: Transcriptome and Genome Conservation of Alternative Splicing Events in Humans and Mice. Pacific Symposium on Biocomputing 2004: 66-77
100		Adam C. Siepel, David Haussler: Computational identification of evolutionarily conserved exons. RECOMB 2004: 177-186
99		Krishna M. Roskin, Mark Diekhans, David Haussler: Score Functions for Determining Regional Conservation in Two-Species Local Alignments. Journal of Computational Biology 11(2/3): 395-411 (2004)
98		Adam C. Siepel, David Haussler: Combining Phylogenetic and Hidden Markov Models in Biosequence Analysis. Journal of Computational Biology 11(2/3): 413-428 (2004)
97		Donna Karolchik, Angela S. Hinrichs, Terrence S. Furey, Krishna M. Roskin, Charles W. Sugnet, David Haussler, W. James Kent: The UCSC Table Browser data retrieval tool. Nucleic Acids Research 32(Database-Issue): 493-496 (2004)
	2003
96		Hui Wang, Earl Hubbell, Jing-Shan Hu, Gangwu Mei, Melissa S. Cline, Gang Lu, Tyson Clark, Michael A. Siani-Rose, Manuel Ares, David Kulp, David Haussler: Gene structure-based splice variant deconvolution using a microarry platform. ISMB (Supplement of Bioinformatics) 2003: 315-322
95		David Haussler: Computational analysis of the human and other mammalian genomes. RECOMB 2003: 138-138
94		Krishna M. Roskin, Mark Diekhans, David Haussler: Scoring two-species local alignments to try to statistically separate neutrally evolving from selected DNA segments. RECOMB 2003: 257-266
93		Adam C. Siepel, David Haussler: Combining phylogenetic and hidden Markov models in biosequence analysis. RECOMB 2003: 277-286
92		Donna Karolchik, Robert Baertsch, Mark Diekhans, Terrence S. Furey, Angela S. Hinrichs, Y. T. Lu, Krishna M. Roskin, M. Schwartz, Charles W. Sugnet, Daryl J. Thomas, R. J. Weber, David Haussler, W. James Kent: The UCSC Genome Browser Database. Nucleic Acids Research 31(1): 51-54 (2003)
	2002
91		Rachel Karchin, Kevin Karplus, David Haussler: Classifying G-protein coupled receptors with support vector machines. Bioinformatics 18(1): 147-159 (2002)
	2001
90		Paul Pavlidis, Terrence S. Furey, M. Liberto, David Haussler, William Noble Grundy: Promoter Region-Based Classification of Genes. Pacific Symposium on Biocomputing 2001: 151-164
	2000
89		Terrence S. Furey, Nello Cristianini, Nigel Duffy, David W. Bednarski, Michèl Schummer, David Haussler: Support vector machine classification and validation of cancer tissue samples using microarray expression data. Bioinformatics 16(10): 906-914 (2000)
88		Tommi Jaakkola, Mark Diekhans, David Haussler: A Discriminative Framework for Detecting Remote Protein Homologies. Journal of Computational Biology 7(1-2): 95-114 (2000)
	1999
87		Tommi Jaakkola, Mark Diekhans, David Haussler: Using the Fisher Kernel Method to Detect Remote Protein Homologies. ISMB 1999: 149-158
86		Betty Lazareva-Ulitsky, David Haussler: A Probabilistic Approach to a Consensus Multiple Alignment. Pacific Symposium on Biocomputing 1999: 150-161
	1998
85		Tommi Jaakkola, David Haussler: Exploiting Generative Models in Discriminative Classifiers. NIPS 1998: 487-493
84		Nicolò Cesa-Bianchi, David Haussler: A Graph-theoretic Generalization of the Sauer-Shelah Lemma. Discrete Applied Mathematics 86(1): 27-35 (1998)
83		David Haussler, Jyrki Kivinen, Manfred K. Warmuth: Sequential Prediction of Individual Sequences Under General Loss Functions. IEEE Transactions on Information Theory 44(5): 1906-1925 (1998)
	1997
82		David Haussler: A Brief Look at Some Machine Learning Problems in Genomics. COLT 1997: 109-113
81		Martin G. Reese, Frank H. Eeckman, David Kulp, David Haussler: Improved splice site detection in Genie. RECOMB 1997: 232-240
80		David Haussler, Manfred Opper: Metric Entropy and Minimax Risk in Classification. Structures in Logic and Computer Science 1997: 212-235
79		David Haussler: A general minimax result for relative entropy. IEEE Transactions on Information Theory 43(4): 1276-1280 (1997)
78		Nicolò Cesa-Bianchi, Yoav Freund, David Haussler, David P. Helmbold, Robert E. Schapire, Manfred K. Warmuth: How to use expert advice. J. ACM 44(3): 427-485 (1997)
77		Noga Alon, Shai Ben-David, Nicolò Cesa-Bianchi, David Haussler: Scale-sensitive dimensions, uniform convergence, and learnability. J. ACM 44(4): 615-631 (1997)
76		Martin G. Reese, Frank H. Eeckman, David Kulp, David Haussler: Improved Splice Site Detection in Genie. Journal of Computational Biology 4(3): 311-324 (1997)
	1996
75		David Kulp, David Haussler, Martin G. Reese, Frank H. Eeckman: A Generalized Hidden Markov Model for the Recognition of Human Genes in DNA. ISMB 1996: 134-142
74		Usama M. Fayyad, David Haussler, Paul E. Stolorz: KDD for Science Data Analysis: Issues and Examples. KDD 1996: 50-56
73		Usama M. Fayyad, David Haussler, Paul E. Stolorz: Mining Scientific Data. Commun. ACM 39(11): 51-57 (1996)
72		Kimmen Sjölander, Kevin Karplus, Michael Brown, Richard Hughey, Anders Krogh, I. Saira Mian, David Haussler: Dirichlet mixtures: a method for improved detection of weak but significant protein sequence homology. Computer Applications in the Biosciences 12(4): 327-345 (1996)
71		David Haussler, Michael J. Kearns, H. Sebastian Seung, Naftali Tishby: Rigorous Learning Curve Bounds from Statistical Mechanics. Machine Learning 25(2-3): 195-236 (1996)
	1995
70		David Haussler, Manfred Opper: General Bounds on the Mutual Information Between a Parameter and n Conditionally Independent Observations. COLT 1995: 402-411
69		David Haussler, Jyrki Kivinen, Manfred K. Warmuth: Tight worst-case loss bounds for predicting with expert advice. EuroCOLT 1995: 69-83
68		Emanuel Knill, Andrzej Ehrenfeucht, David Haussler: The size of k-pseudotrees. Discrete Mathematics 141(1-3): 185-194 (1995)
67		David Haussler: Sphere Packing Numbers for Subsets of the Boolean n-Cube with Bounded Vapnik-Chervonenkis Dimension. J. Comb. Theory, Ser. A 69(2): 217-232 (1995)
66		David Haussler, Philip M. Long: A Generalization of Sauer's Lemma. J. Comb. Theory, Ser. A 71(2): 219-240 (1995)
65		Shai Ben-David, Nicolò Cesa-Bianchi, David Haussler, Philip M. Long: Characterizations of Learnability for Classes of {0, ..., n}-Valued Functions. J. Comput. Syst. Sci. 50(1): 74-86 (1995)
	1994
64		David Haussler, H. Sebastian Seung, Michael J. Kearns, Naftali Tishby: Rigorous Learning Curve Bounds from Statistical Mechanics. COLT 1994: 76-87
63		Yasubumi Sakakibara, Michael Brown, Richard Hughey, I. Saira Mian, Kimmen Sjölander, Rebecca C. Underwood, David Haussler: Recent Methods for RNA Modeling Using Stochastic Context-Free Grammars. CPM 1994: 289-306
62		Yasubumi Sakakibara, Michael Brown, Rebecca C. Underwood, I. Saira Mian, David Haussler: Stochastic Context-Free Grammars for Modeling RN. HICSS (5) 1994: 284-294
61		Leslie Grate, Mark Herbster, Richard Hughey, David Haussler, I. Saira Mian, Harry Noller: RNA Modeling Using Gibbs Sampling and Stochastic Context Free Grammars. ISMB 1994: 138-146
60		Gary D. Stormo, David Haussler: Optimally Parsing a Sequence into Different Classes Based on Multiple Types of Evidence. ISMB 1994: 369-375
59		David Haussler, Nick Littlestone, Manfred K. Warmuth: Predicting \0,1\-Functions on Randomly Drawn Points Inf. Comput. 115(2): 248-292 (1994)
58		David Haussler, Michael J. Kearns, Robert E. Schapire: Bounds on the Sample Complexity of Bayesian Learning Using Information Theory and the VC Dimension. Machine Learning 14(1): 83-113 (1994)
	1993
57		Noga Alon, Shai Ben-David, Nicolò Cesa-Bianchi, David Haussler: Scale-sensitive Dimensions, Uniform Convergence, and Learnability FOCS 1993: 292-301
56		Michael Brown, Richard Hughey, Anders Krogh, I. Saira Mian, Kimmen Sjölander, David Haussler: Using Dirichlet Mixture Priors to Derive Hidden Markov Models for Protein Families. ISMB 1993: 47-55
55		Nicolò Cesa-Bianchi, Yoav Freund, David P. Helmbold, David Haussler, Robert E. Schapire, Manfred K. Warmuth: How to use expert advice. STOC 1993: 382-391
	1992
54		David Haussler: Proceedings of the Fifth Annual ACM Conference on Computational Learning Theory, COLT 1992, Pittsburgh, PA, USA, July 27-29, 1992. ACM 1992
53		David Haussler: Decision Theoretic Generalizations of the PAC Model for Neural Net and Other Learning Applications Inf. Comput. 100(1): 78-150 (1992)
	1991
52		David Haussler, Michael J. Kearns, Robert E. Schapire: Bounds on the Sample Complexity of Bayesian Learning Using Information Theory and the VC Dimension. COLT 1991: 61-74
51		Manfred Opper, David Haussler: Calculation of the Learning Curve of Bayes Optimal Classification Algorithm for Learning a Perceptron With Noise. COLT 1991: 75-87
50		David Haussler, Michael J. Kearns, Manfred Opper, Robert E. Schapire: Estimating Average-Case Learning Curves Using Bayesian, Statistical Physics and VC Dimension Methods. NIPS 1991: 855-862
49		Yoav Freund, David Haussler: Unsupervised Learning of Distributions of Binary Vectors Using 2-Layer Networks. NIPS 1991: 912-919
48		David Haussler, Michael J. Kearns, Nick Littlestone, Manfred K. Warmuth: Equivalence of Models for Polynomial Learnability Inf. Comput. 95(2): 129-161 (1991)
	1990
47		David Haussler: Probably Approximately Correct Learning. AAAI 1990: 1101-1108
46		David Haussler: Decision Theoretic Generalizations of the PAC Learning Model. ALT 1990: 21-41
45		Giulia Pagallo, David Haussler: Boolean Feature Discovery in Empirical Learning. Machine Learning 5: 71-99 (1990)
	1989
44		Ronald L. Rivest, David Haussler, Manfred K. Warmuth: Proceedings of the Second Annual Workshop on Computational Learning Theory, COLT 1989, Santa Cruz, CA, USA, July 31 - August 2, 1989. Morgan Kaufmann 1989
43		Aleksandar Milosavljevic, David Haussler, Jerzy Jurka: Informed Parsimonious Inference of Prototypical Genetic Sequences. COLT 1989: 102-117
42		David Haussler: Generalizing the PAC Model: Sample Size Bounds From Metric Dimension-based Uniform Convergence Results FOCS 1989: 40-45
41		Giulia Pagallo, David Haussler: Two Algorithms That Learn DNF by Discovering Relevant Features. ML 1989: 119-123
40		Anselm Blumer, Andrzej Ehrenfeucht, David Haussler: Average sizes of suffix trees and DAWGs. Discrete Applied Mathematics 24(1-3): 37-45 (1989)
39		Andrzej Ehrenfeucht, David Haussler: Learning Decision Trees from Random Examples Inf. Comput. 82(3): 231-246 (1989)
38		Andrzej Ehrenfeucht, David Haussler, Michael J. Kearns, Leslie G. Valiant: A General Lower Bound on the Number of Examples Needed for Learning Inf. Comput. 82(3): 247-261 (1989)
37		Anselm Blumer, Andrzej Ehrenfeucht, David Haussler, Manfred K. Warmuth: Learnability and the Vapnik-Chervonenkis dimension. J. ACM 36(4): 929-965 (1989)
36		David Haussler: Learning Conjunctive Concepts in Structural Domains. Machine Learning 4: 7-40 (1989)
	1988
35		David Haussler, Leonard Pitt: Proceedings of the First Annual Workshop on Computational Learning Theory, COLT '88, Cambridge, MA, USA, August 3-5, 1988. ACM/MIT 1988
34		Andrzej Ehrenfeucht, David Haussler, Michael J. Kearns, Leslie G. Valiant: A General Lower Bound on the Number of Examples Needed for Learning. COLT 1988: 139-154
33		Andrzej Ehrenfeucht, David Haussler: Learning Decision Trees from Random Examples. COLT 1988: 182-194
32		David Haussler, Nick Littlestone, Manfred K. Warmuth: Predicting {0, 1}-Functions on Randomly Drawn Points. COLT 1988: 280-296
31		David Haussler, Michael J. Kearns, Nick Littlestone, Manfred K. Warmuth: Equivalence of Models for Polynomial Learnability. COLT 1988: 42-55
30		David Haussler, Nick Littlestone, Manfred K. Warmuth: Predicting {0,1}-Functions on Randomly Drawn Points (Extended Abstract) FOCS 1988: 100-109
29		Eric B. Baum, David Haussler: What Size Net Gives Valid Generalization? NIPS 1988: 81-90
28		David Haussler: Quantifying Inductive Bias: AI Learning Algorithms and Valiant's Learning Framework. Artif. Intell. 36(2): 177-221 (1988)
27		Andrzej Ehrenfeucht, David Haussler: A new distance metric on strings computable in linear time. Discrete Applied Mathematics 20(3): 191-203 (1988)
	1987
26		David Haussler: Learning Conjunctive Concepts in Structural Domains. AAAI 1987: 466-470
25		Noga Alon, David Haussler, Emo Welzl: Partitioning and Geometric Embedding of Range Spaces of Finite Vapnik-Chervonenkis Dimension. Symposium on Computational Geometry 1987: 331-340
24		David Haussler, Emo Welzl: epsilon-Nets and Simplex Range Queries. Discrete & Computational Geometry 2: 127-151 (1987)
23		Anselm Blumer, Andrzej Ehrenfeucht, David Haussler, Manfred K. Warmuth: Occam's Razor. Inf. Process. Lett. 24(6): 377-380 (1987)
22		Anselm Blumer, J. Blumer, David Haussler, Ross M. McConnell, Andrzej Ehrenfeucht: Complete inverted files for efficient text retrieval and analysis. J. ACM 34(3): 578-595 (1987)
21		David Haussler: New Theoretical Directions in Machine Learning. Machine Learning 2(4): 281-284 (1987)
20		Michael G. Main, Walter Bucher, David Haussler: Applications of an Infinite Square-Free CO-CFL. Theor. Comput. Sci. 49: 113-119 (1987)
	1986
19		David Haussler: Quantifying the Inductive Bias in Concept Learning (Extended Abstract). AAAI 1986: 485-489
18		Anselm Blumer, Andrzej Ehrenfeucht, David Haussler, Manfred K. Warmuth: Classifying Learnable Geometric Concepts with the Vapnik-Chervonenkis Dimension (Extended Abstract) STOC 1986: 273-282
17		David Haussler, Emo Welzl: Epsilon-Nets and Simplex Range Queries. Symposium on Computational Geometry 1986: 61-71
16		Herbert Edelsbrunner, David Haussler: The complexity of cells in three-dimensional arrangements. Discrete Mathematics 60: 139-146 (1986)
15		B. Clift, David Haussler, Ross M. McConnell, Thomas D. Schneider, Gary D. Stormo: Sequence landscapes. Nucleic Acids Research 14(1): 141-158 (1986)
	1985
14		Michael G. Main, Walter Bucher, David Haussler: Applications of an Infinite Squarefree CO-CFL. ICALP 1985: 404-412
13		Walter Bucher, Andrzej Ehrenfeucht, David Haussler: On Total Regulators Generated by Derivation Relations. ICALP 1985: 71-79
12		David Haussler: Another generalization of Higman's well quasi order result on Sigma*. Discrete Mathematics 57(3): 237-243 (1985)
11		Walter Bucher, Andrzej Ehrenfeucht, David Haussler: On Total Regulators Generated by Derivation Relations. Theor. Comput. Sci. 40: 131-148 (1985)
10		Anselm Blumer, J. Blumer, David Haussler, Andrzej Ehrenfeucht, M. T. Chen, Joel I. Seiferas: The Smallest Automaton Recognizing the Subwords of a Text. Theor. Comput. Sci. 40: 31-55 (1985)
	1984
9		Anselm Blumer, J. Blumer, Andrzej Ehrenfeucht, David Haussler, Ross M. McConnell: Building the Minimal DFA for the Set of all Subwords of a Word On-line in Linear Time. ICALP 1984: 109-118
8		Anselm Blumer, J. Blumer, Andrzej Ehrenfeucht, David Haussler, Ross M. McConnell: Building a Complete Inverted File for a Set of Text Files in Linear Time STOC 1984: 349-358
7		Andrzej Ehrenfeucht, David Haussler, Grzegorz Rozenberg: On Ambiguity in Dos Systems. ITA 18(3): 279-295 (1984)
6		Manfred K. Warmuth, David Haussler: On the Complexity of Iterated Shuffle. J. Comput. Syst. Sci. 28(3): 345-358 (1984)
	1983
5		Anselm Blumer, J. Blumer, Andrzej Ehrenfeucht, David Haussler, Ross M. McConnell: Linear size finite automata for the set of all subwords of a word - an outline of results. Bulletin of the EATCS 21: 12-20 (1983)
4		David Haussler: Insertion languages. Inf. Sci. 31(1): 77-89 (1983)
3		Andrzej Ehrenfeucht, David Haussler, Grzegorz Rozenberg: On Regularity of Context-Free Languages. Theor. Comput. Sci. 27: 311-332 (1983)
	1982
2		Andrzej Ehrenfeucht, David Haussler, Grzegorz Rozenberg: Conditions Enforcing Regularity of Context-Free Languages. ICALP 1982: 187-191
	1980
1		David Haussler, H. Paul Zeiger: Very Special Languages and Representations of Recursively Enumerable Languages via Computation Histories Information and Control 47(3): 201-212 (1980)

Coauthor Index

1	Noga Alon	[25] [57] [77]
2	Manuel Ares	[96] [101] [107]
3	Robert Baertsch	[92] [108] [117] [120] [122]
4	Galt P. Barber	[108] [117] [118] [120] [124] [125] [126] [130] [131] [134] [135]
5	Eric B. Baum	[29]
6	David W. Bednarski	[89]
7	Gill Bejerano	[102] [106] [108] [117]
8	Shai Ben-David	[57] [65] [77]
9	Stephen C. Benz	[127] [129]
10	Mathieu Blanchette	[102]
11	John Blume	[107]
12	Anselm Blumer	[5] [8] [9] [10] [18] [22] [23] [37] [40]
13	J. Blumer	[5] [8] [9] [10] [22]
14	Michael Brown	[56] [62] [63] [72]
15	Walter Bucher	[11] [13] [14] [20]
16	Nicolò Cesa-Bianchi	[55] [57] [65] [77] [78] [84]
17	M. T. Chen	[10]
18	Tyson Clark	[96] [107]
19	Hiram Clawson	[108] [110] [117] [118] [120] [124] [126] [130] [131] [134] [135]
20	B. Clift	[15]
21	Melissa S. Cline	[96] [107] [130] [131] [134] [135]
22	Antonio Coelho	[130]
23	Brian Craft	[129]
24	Nello Cristianini	[89]
25	Jeremy Darot	[111]
26	Mark Diekhans	[87] [88] [92] [94] [99] [104] [105] [108] [110] [114] [117] [120] [122] [124] [126] [128] [130] [134] [135]
27	Timothy R. Dreszer	[124] [125] [126] [130] [131] [134] [135]
28	Nigel Duffy	[89]
29	Dent Earl	[127] [128]
30	Herbert Edelsbrunner	[16]
31	Frank H. Eeckman	[75] [76] [81]
32	Andrzej Ehrenfeucht	[2] [3] [5] [7] [8] [9] [10] [11] [13] [18] [22] [23] [27] [33] [34] [37] [38] [39] [40] [68]
33	Narayanan Eswar	[105]
34	Usama M. Fayyad	[73] [74]
35	Yoav Freund	[49] [55] [78]
36	Pauline A. Fujita	[124] [125] [126] [130] [131] [134] [135]
37	Terrence S. Furey	[89] [90] [92] [97] [108]
38	Dan Geiger	[103]
39	Belinda Giardine	[120] [124] [126] [130] [134]
40	Mary Goldman	[129] [130] [134] [135]
41	Leslie Grate	[61]
42	Robert C. Gravell	[135]
43	William Noble Grundy	[90]
44	Luvina Guruvadoo	[134]
45	Rachel A. Harte	[108] [117] [118] [120] [124] [126] [130] [134] [135]
46	David Heckerman	[103]
47	David P. Helmbold	[55] [78]
48	Mark Herbster	[61]
49	Jennifer Hillman-Jackson	[108] [118] [126] [130]
50	Angela S. Hinrichs	[92] [97] [108] [117] [120] [124]
51	Angie S. Hinrichs	[118] [125] [126] [130] [131] [134] [135]
52	Fan Hsu	[104] [108] [110] [117] [120] [124] [126] [130] [134]
53	Jing-Shan Hu	[96]
54	Earl Hubbell	[96]
55	Richard Hughey	[56] [61] [63] [72]
56	Tommi Jaakkola	[85] [87] [88]
57	John St. John	[128]
58	Nebojsa Jojic	[103]
59	Vladimir Jojic	[103]
60	Jerzy Jurka	[43]
61	Rachel Karchin	[91] [105]
62	Donna Karolchik	[92] [97] [104] [108] [117] [118] [120] [124] [125] [126] [129] [130] [131] [134] [135]
63	Kevin Karplus	[72] [91]
64	Michael Kearns (Michael J. Kearns, Michael S. Kearns)	[31] [34] [38] [48] [50] [52] [58] [64] [71]
65	Libusha Kelly	[105]
66	Jim Kent	[106]
67	W. James Kent	[92] [97] [101] [104] [108] [110] [116] [117] [118] [120] [124] [125] [126] [129] [130] [131] [134] [135]
68	Andrew D. Kern	[116]
69	Vanessa Kirkup	[130] [131] [134] [135]
70	Jyrki Kivinen	[69] [83]
71	Emanuel Knill	[68]
72	Kord M. Kober	[120] [129]
73	Anders Krogh	[56] [72]
74	Robert M. Kuhn	[104] [108] [110] [116] [117] [118] [120] [124] [125] [126] [129] [130] [131] [134] [135]
75	David Kulp	[75] [76] [81] [96] [107]
76	Eric S. Lander	[106]
77	Betty Lazareva-Ulitsky	[86]
78	Katrina Learned	[125] [126] [130] [131] [134] [135]
79	Chin H. Li	[130] [134]
80	M. Liberto	[90]
81	Kerstin Lindblad-Toh	[106]
82	Nick Littlestone	[30] [31] [32] [48] [59]
83	Jeffrey C. Long	[135]
84	Philip M. Long	[65] [66]
85	Craig B. Lowe	[114]
86	Gang Lu	[96]
87	Y. T. Lu	[92]
88	Jian Ma	[119] [121] [128]
89	Morgan Maddren	[135]
90	Michael G. Main	[14] [20]
91	Venkat S. Malladi	[131] [134] [135]
92	Ross M. McConnell	[5] [8] [9] [15] [22]
93	Christopher Meek	[103]
94	Gangwu Mei	[96]
95	Laurence R. Meyer	[124] [125] [126] [129] [130] [131] [134] [135]
96	I. Saira Mian	[56] [61] [62] [63] [72]
97	Webb Miller (Webb C. Miller)	[106] [119] [120] [121]
98	Aleksandar Milosavljevic	[43]
99	Harry Noller	[61]
100	Georgeann O'Brien	[107]
101	Manfred Opper	[50] [51] [70] [80]
102	Giulia Pagallo	[41] [45]
103	Benedict Paten	[128] [132]
104	Paul Pavlidis	[90]
105	Jakob Skou Pedersen	[106] [108] [117] [120]
106	Michael Pheasant	[124] [125] [126]
107	Ursula Pieper	[105]
108	Leonard Pitt	[35]
109	Andy Pohl	[108] [117] [120] [124] [125] [126] [130] [131] [134] [135]
110	Katherine S. Pollard	[113]
111	Tom H. Pringle	[104] [114]
112	Brian J. Raney	[108] [117] [118] [120] [121] [124] [125] [126] [130] [131] [134] [135]
113	Aakrosh Ratan	[119] [121]
114	Martin G. Reese	[75] [76] [81]
115	Brooke L. Rhead	[116] [117] [118] [120] [124] [125] [126] [130] [131] [134] [135]
116	Ronald L. Rivest	[44]
117	Greg Roe	[134]
118	Kate R. Rosenbloom	[106] [108] [117] [118] [120] [124] [125] [126] [130] [131] [134] [135]
119	Krishna M. Roskin	[92] [94] [97] [99] [131] [132]
120	Grzegorz Rozenberg	[2] [3] [7]
121	Yasubumi Sakakibara	[62] [63]
122	Andrej Sali	[105]
123	J. Zachary Sanborn	[114] [127] [129]
124	Robert E. Schapire	[50] [52] [55] [58] [78]
125	Thomas D. Schneider	[15]
126	Michèl Schummer	[89]
127	M. Schwartz	[92]
128	Joel I. Seiferas	[10]
129	H. Sebastian Seung	[64] [71]
130	Michael A. Siani-Rose	[96]
131	Adam C. Siepel	[93] [98] [100] [103] [106] [108] [113] [117]
132	Kimmen Sjölander	[56] [63] [72]
133	Cricket A. Sloan	[131] [134] [135]
134	Kayla E. Smith	[108] [117] [118] [120] [124] [125] [126] [129] [130] [131]
135	Karpagam Srinivasan	[107]
136	Mario Stanke	[117] [120] [122]
137	Paul E. Stolorz	[73] [74]
138	Gary D. Stormo	[15] [60]
139	Joshua M. Stuart	[127] [129]
140	Charles W. Sugnet	[92] [97] [101] [107] [108] [117]
141	Bernard B. Suh	[121] [128] [131]
142	A. Sultan-Qurraie	[108]
143	Christopher Szeto	[127] [129]
144	Archana Thakkapallayil	[117] [118] [120]
145	Daryl J. Thomas	[92] [105] [108] [116] [117] [118]
146	Naftali Tishby	[64] [71]
147	Heather Trumbower	[108] [116] [117] [118] [120]
148	Rebecca C. Underwood	[62] [63]
149	Leslie G. Valiant	[34] [38]
150	Charles J. Vaske	[127] [129]
151	Ting Wang	[120] [124] [125]
152	Hui Wang	[96] [107]
153	Manfred K. Warmuth	[6] [18] [23] [30] [31] [32] [37] [44] [48] [55] [59] [69] [78] [83]
154	R. J. Weber	[92] [108]
155	M. Weirauch	[108]
156	Emo Welzl	[17] [24] [25]
157	Alan Williams	[107]
158	Mathew Wong	[134]
159	Matthew C. Wong	[135]
160	Jing Wu	[109]
161	Chen-Hsiang Yeang	[111] [115]
162	H. Paul Zeiger	[1]
163	Louxin Zhang	[119] [121]
164	Jingchun Zhu	[114] [127] [129]
165	Ann S. Zweig	[108] [117] [118] [120] [124] [125] [126] [130] [131] [134] [135]

Colors in the list of coauthors

Last update Fri May 25 01:42:58 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page