Padhraic Smyth

	2008
109		Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyvers: Combining concept hierarchies and statistical topic models. CIKM 2008: 1469-1470
108		Chaitanya Chemudugunta, America Holloway, Padhraic Smyth, Mark Steyvers: Modeling Documents by Combining Semantic Concepts with Unsupervised Statistical Learning. International Semantic Web Conference 2008: 229-244
107		Ian Porteous, David Newman, Alexander T. Ihler, Arthur Asuncion, Padhraic Smyth, Max Welling: Fast collapsed gibbs sampling for latent dirichlet allocation. KDD 2008: 569-577
106		Arthur Asuncion, Padhraic Smyth, Max Welling: Asynchronous Distributed Learning of Topic Models. NIPS 2008: 81-88
105		Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyvers: Text Modeling using Unsupervised Topic Models and Concept Hierarchies CoRR abs/0808.0973: (2008)
	2007
104		Sergey Kirshner, Padhraic Smyth: Infinite mixtures of trees. ICML 2007: 417-423
103		David Newman, Kat Hagedorn, Chaitanya Chemudugunta, Padhraic Smyth: Subject metadata enrichment using statistical topic models. JCDL 2007: 366-375
102		David Newman, Arthur Asuncion, Padhraic Smyth, Max Welling: Distributed Inference for Latent Dirichlet Allocation. NIPS 2007
101		James Bennett, Charles Elkan, Bing Liu, Padhraic Smyth, Domonkos Tikk: KDD Cup and workshop 2007. SIGKDD Explorations 9(2): 51-52 (2007)
100		Alexander T. Ihler, Jon Hutchins, Padhraic Smyth: Learning to detect events with Markov-modulated poisson processes. TKDD 1(3): (2007)
	2006
99		Padhraic Smyth: Data-Driven Discovery Using Probabilistic Hidden Variable Models. ALT 2006: 28
98		Padhraic Smyth: Data-Driven Discovery Using Probabilistic Hidden Variable Models. Discovery Science 2006: 13
97		David Newman, Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyvers: Analyzing Entities and Topics in News Articles Using Statistical Topic Models. ISI 2006: 93-104
96		Alexander T. Ihler, Jon Hutchins, Padhraic Smyth: Adaptive event detection with time-varying poisson processes. KDD 2006: 207-216
95		David Newman, Chaitanya Chemudugunta, Padhraic Smyth: Statistical entity-topic models. KDD 2006: 680-686
94		Seyoung Kim, Padhraic Smyth, Hal Stern: A Nonparametric Bayesian Approach to Detecting Spatial Activation Patterns in fMRI Data. MICCAI (2) 2006: 217-224
93		Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyvers: Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model. NIPS 2006: 241-248
92		Alexander T. Ihler, Padhraic Smyth: Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models. NIPS 2006: 625-632
91		Seyoung Kim, Padhraic Smyth: Hierarchical Dirichlet Processes with Random Effects. NIPS 2006: 697-704
90		Ian Porteous, Alex Ihter, Padhraic Smyth, Max Welling: Gibbs Sampling for (Coupled) Infinite Mixture Models in the Stick Breaking Representation. UAI 2006
89		Seyoung Kim, Padhraic Smyth: Segmental Hidden Markov Models with Random Effects for Waveform Modeling. Journal of Machine Learning Research 7: 945-969 (2006)
	2005
88		Seyoung Kim, Padhraic Smyth, Hal Stern, Jessica Turner: Parametric Response Surface Models for Analysis of Multi-site fMRI Data. MICCAI 2005: 352-359
87		Scott White, Padhraic Smyth: A Spectral Clustering Approach To Finding Communities in Graph. SDM 2005
86		Joshua O'Madadhain, Jon Hutchins, Padhraic Smyth: Prediction and ranking algorithms for event-based network data. SIGKDD Explorations 7(2): 23-30 (2005)
	2004
85		Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, Thomas L. Griffiths: Probabilistic author-topic models for information discovery. KDD 2004: 306-315
84		Scott Gaffney, Padhraic Smyth: Joint Probabilistic Curve Clustering and Alignment. NIPS 2004
83		Seyoung Kim, Padhraic Smyth, Stefan Luther: Modeling Waveform Shapes with Random E ects Segmental Hidden Markov Models. UAI 2004: 309-316
82		Sergey Kirshner, Padhraic Smyth, Andrew Robertson: Conditional Chow-Liu Tree Structures for Modeling Discrete-Valued Vector Time Series. UAI 2004: 317-314
81		Michal Rosen-Zvi, Thomas L. Griffiths, Mark Steyvers, Padhraic Smyth: The Author-Topic Model for Authors and Documents. UAI 2004: 487-494
	2003
80		Pierre Baldi, Paolo Frasconi, Padhraic Smyth: Modeling the Internet and the Web: Probabilistic Method and Algorithms John Wiley 2003
79		Sergey Kirshner, Sridevi Parise, Padhraic Smyth: Unsupervised Learning with Permuted Data. ICML 2003: 345-352
78		Scott White, Padhraic Smyth: Algorithms for estimating relative importance in networks. KDD 2003: 266-275
77		Darya Chudova, Scott Gaffney, Eric Mjolsness, Padhraic Smyth: Translation-invariant mixture models for curve clustering. KDD 2003: 79-88
76		Darya Chudova, Christopher Hart, Eric Mjolsness, Padhraic Smyth: Gene Expression Clustering with Functional Mixture Models. NIPS 2003
75		Dmitry Pavlov, Padhraic Smyth: Approximate Query Answering by Model Averaging. SDM 2003
74		Darya Chudova, Scott Gaffney, Padhraic Smyth: Probabilistic Models For Joint Clustering And Time-Warping Of Multidimensional Curves. UAI 2003: 134-141
73		Darya Chudova, Padhraic Smyth: Analysis of Pattern Discovery in Sequences Using a Bayes Error Framework. Data Min. Knowl. Discov. 7(3): 273-299 (2003)
72		Igor V. Cadez, David Heckerman, Christopher Meek, Padhraic Smyth, Steven White: Model-Based Clustering and Visualization of Navigation Patterns on a Web Site. Data Min. Knowl. Discov. 7(4): 399-424 (2003)
71		Dmitry Pavlov, Heikki Mannila, Padhraic Smyth: Beyond Independence: Probabilistic Models for Query Approximation on Binary Transaction Data. IEEE Trans. Knowl. Data Eng. 15(6): 1409-1421 (2003)
	2002
70		Padhraic Smyth: Learning with Mixture Models: Concepts and Applications. ECML 2002: 529-
69		Sergey Kirshner, Igor V. Cadez, Padhraic Smyth, Chandrika Kamath, Erick Cantú-Paz: Probabilistic Model-Based Detection of Bent-Double Radio Galaxies. ICPR (2) 2002: 499-502
68		Darya Chudova, Padhraic Smyth: Pattern discovery in sequences under a Markov assumption. KDD 2002: 153-162
67		Sergey Kirshner, Igor V. Cadez, Padhraic Smyth, Chandrika Kamath: Learning to Classify Galaxy Shapes Using the EM Algorithm. NIPS 2002: 1497-1504
66		Padhraic Smyth: Learning with Mixture Models: Concepts and Applications. PKDD 2002: 512
65		Padhraic Smyth, Daryl Pregibon, Christos Faloutsos: Data-driven evolution of data mining algorithms. Commun. ACM 45(8): 33-37 (2002)
64		Chidanand Apté, Bing Liu, Edwin P. D. Pednault, Padhraic Smyth: Business applications of data mining. Commun. ACM 45(8): 49-53 (2002)
63		Igor V. Cadez, Padhraic Smyth, Geoffrey J. McLachlan, Christine E. McLaren: Maximum Likelihood Estimation of Mixture Densities for Binned and Truncated Multivariate Data. Machine Learning 47(1): 7-34 (2002)
	2001
62		Padhraic Smyth: Breaking out of the Black-Box: Research Challenges in Data Mining. DMKD 2001
61		Dmitry Pavlov, Padhraic Smyth: Probabilistic query models for transaction data. KDD 2001: 164-173
60		Igor V. Cadez, Padhraic Smyth, Heikki Mannila: Probabilistic modeling of transaction data with applications to profiling, visualization, and prediction. KDD 2001: 37-46
59		Igor V. Cadez, Padhraic Smyth: Bayesian Predictive Profiles With Applications to Retail Transaction Data. NIPS 2001: 1353-1360
58		Xianping Ge, David Eppstein, Padhraic Smyth: The distribution of loop lengths in graphical models for turbo decoding. IEEE Transactions on Information Theory 47(6): 2549-2553 (2001)
	2000
57		Heikki Mannila, Padhraic Smyth: Approximate Query Answering with Frequent Sets and Maximum Entropy. ICDE 2000: 309
56		Igor V. Cadez, Scott Gaffney, Padhraic Smyth: A general probabilistic framework for clustering individuals and objects. KDD 2000: 140-149
55		Igor V. Cadez, David Heckerman, Christopher Meek, Padhraic Smyth, Steven White: Visualization of navigation patterns on a Web site using model-based clustering. KDD 2000: 280-284
54		Dmitry Pavlov, Darya Chudova, Padhraic Smyth: Towards scalable support vector machines using squashing. KDD 2000: 295-299
53		Xianping Ge, Padhraic Smyth: Deformable Markov model templates for time-series pattern matching. KDD 2000: 81-90
52		Igor V. Cadez, Padhraic Smyth: Model Complexity, Goodness of Fit and Diminishing Returns. NIPS 2000: 388-394
51		Dmitry Pavlov, Heikki Mannila, Padhraic Smyth: Probabilistic Models for Query Approximation with Large Sparse Binary Data Sets. UAI 2000: 465-472
50		Stephen D. Bay, Dennis F. Kibler, Michael J. Pazzani, Padhraic Smyth: The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation. SIGKDD Explorations 2(2): 81-85 (2000)
	1999
49		Igor V. Cadez, Christine E. McLaren, Padhraic Smyth, Geoffrey J. McLachlan: Hierarchical Models for Screening of Iron Deficiency Anemia. ICML 1999: 77-86
48		Heikki Mannila, Dmitry Pavlov, Padhraic Smyth: Prediction with Local Patterns using Cross-Entropy. KDD 1999: 357-361
47		Scott Gaffney, Padhraic Smyth: Trajectory Clustering with Mixtures of Regression Models. KDD 1999: 63-72
46		Xianping Ge, Wanda Pratt, Padhraic Smyth: Discovering Chinese Words from Unsegmented Text (poster abstract). SIGIR 1999: 271-272
45		Xianping Ge, David Eppstein, Padhraic Smyth: The Distribution of Cycle Lengths in Graphical Models for Iterative Decoding CoRR cs.DM/9907002: (1999)
44		Padhraic Smyth, David Wolpert: Linearly Combining Density Estimators via Stacking. Machine Learning 36(1-2): 59-83 (1999)
	1998
43		Gautam Das, King-Ip Lin, Heikki Mannila, Gopal Renganathan, Padhraic Smyth: Rule Discovery from Time Series. KDD 1998: 16-22
42		Michael C. Burl, Lars Asker, Padhraic Smyth, Usama M. Fayyad, Pietro Perona, Larry Crumpler, Jayne Aubele: Learning to Recognize Volcanoes on Venus. Machine Learning 30(2-3): 165-194 (1998)
	1997
41		William Rodman Shankle, Subramani Mani, Michael J. Pazzani, Padhraic Smyth: Detecting Very Early Stages of Dementia from Normal Aging with Machine Learning Methods. AIME 1997: 73-85
40		Eamonn J. Keogh, Padhraic Smyth: A Probabilistic Approach to Fast Pattern Matching in Time Series Databases. KDD 1997: 24-30
39		Padhraic Smyth, David Wolpert: Anytime Exploratory Data Analysis for Massive Data Sets. KDD 1997: 54-60
38		Padhraic Smyth, Michael Ghil, Kayo Ide, Joseph Roden, Andrew Fraser: Detecting Atmospheric Regimes Using Cross-Validated Clustering. KDD 1997: 61-66
37		Padhraic Smyth, David Wolpert: Stacked Density Estimation. NIPS 1997
36		Clark Glymour, David Madigan, Daryl Pregibon, Padhraic Smyth: Statistical Themes and Lessons for Data Mining. Data Min. Knowl. Discov. 1(1): 11-28 (1997)
35		Pat Langley, Gregory M. Provan, Padhraic Smyth: Learning with Probabilistic Representations. Machine Learning 29(2-3): 91-101 (1997)
34		Padhraic Smyth, David Heckerman, Michael I. Jordan: Probabilistic Independence Networks for Hidden Markov Probability Models. Neural Computation 9(2): 227-269 (1997)
33		Padhraic Smyth: Belief networks, hidden Markov models, and Markov random fields: A unifying view. Pattern Recognition Letters 18(11-13): 1261-1268 (1997)
	1996
32		Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth, Ramasamy Uthurusamy: Advances in Knowledge Discovery and Data Mining. AAAI/MIT Press 1996
31		Padhraic Smyth: Clustering Using Monte Carlo Cross-Validation. KDD 1996: 126-133
30		Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth: Knowledge Discovery and Data Mining: Towards a Unifying Framework. KDD 1996: 82-88
29		Padhraic Smyth: Clustering Sequences with Hidden Markov Models. NIPS 1996: 648-654
28		Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth: From Data Mining to Knowledge Discovery: An Overview. Advances in Knowledge Discovery and Data Mining 1996: 1-34
27		Padhraic Smyth, Usama M. Fayyad, Michael C. Burl, Pietro Perona: Modeling Subjective Uncertainty in Image Annotation. Advances in Knowledge Discovery and Data Mining 1996: 517-539
26		Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth: From Data Mining to Knowledge Discovery in Databases. AI Magazine 17(3): 37-54 (1996)
25		Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth: The KDD Process for Extracting Useful Knowledge from Volumes of Data. Commun. ACM 39(11): 27-34 (1996)
24		Clark Glymour, David Madigan, Daryl Pregibon, Padhraic Smyth: Statistical Inference and Data Mining. Commun. ACM 39(11): 35-41 (1996)
23		Padhraic Smyth: Bounds on the mean classification error rate of multiple experts. Pattern Recognition Letters 17(12): 1253-1257 (1996)
	1995
22		Padhraic Smyth, Alexander Gray, Usama M. Fayyad: Retrofitting Decision Tree Classifiers Using Kernel Density Estimation. ICML 1995: 506-514
21		Usama M. Fayyad, Padhraic Smyth, Nicholas Weir, S. George Djorgovski: Automated Analysis and Exploration of Image Databases: Results, Progress, and Challenges. J. Intell. Inf. Syst. 4(1): 7-25 (1995)
	1994
20		Usama M. Fayyad, Padhraic Smyth: The Automated Analysis, Cataloging, and Searching of Digital Image Libraries: A Machine Learning Approach. DL 1994: 225-249
19		Michael C. Burl, Usama M. Fayyad, Pietro Perona, Padhraic Smyth: Automated Analysis of Radar Imagery of Venus: Handling Lack of Ground Truth. ICIP (3) 1994: 236-240
18		Padhraic Smyth, Michael C. Burl, Usama M. Fayyad, Pietro Perona: Knowledge Discovery in Large Image Databases: Dealing with Uncertainties in Ground Truth. KDD Workshop 1994: 109-120
17		Padhraic Smyth, Usama M. Fayyad, Michael C. Burl, Pietro Perona, Pierre Baldi: Inferring Ground Truth from Subjective Labelling of Venus Images. NIPS 1994: 1085-1092
16		Gregory Piatetsky-Shapiro, Christopher J. Matheus, Padhraic Smyth, Ramasamy Uthurusamy: KDD-93: Progress and Challenges in Knowledge Discovery in Databases. AI Magazine 15(3): 77-82 (1994)
15		Padhraic Smyth: Hidden Markov models for fault detection in dynamic system. Pattern Recognition 27(1): 149-164 (1994)
	1993
14		Padhraic Smyth: Probabilistic Anomaly Detection in Dynamic Systems. NIPS 1993: 825-832
13		John W. Miller, Rodney M. Goodman, Padhraic Smyth: On loss functions which minimize to conditional expected values and posterior proba- bilities. IEEE Transactions on Information Theory 39(4): 1404- (1993)
12		Zheng Zeng, Rodney M. Goodman, Padhraic Smyth: Learning Finite State Machines With Self-Clustering Recurrent Networks. Neural Computation 5(6): 976-990 (1993)
	1992
11		Padhraic Smyth, Jeff Mellstrom: Detecting Novel Classes with Applications to Fault Diagnosis. ML 1992: 416-425
10		Padhraic Smyth, Rodney M. Goodman: An Information Theoretic Approach to Rule Induction from Databases. IEEE Trans. Knowl. Data Eng. 4(4): 301-316 (1992)
9		Rodney M. Goodman, Charles M. Higgins, John W. Miller, Padhraic Smyth: Rule-Based Neural Networks for Classification and Probability Estimation. Neural Computation 4(6): 781-804 (1992)
	1991
8		Padhraic Smyth, Jeff Mellstrom: Fault Diagnosis of Antenna Pointing Systems Using Hybrid Neural Network and Signal Processing Models. NIPS 1991: 667-674
7		Padhraic Smyth, Rodney M. Goodman: Rule Induction Using Information Theory. Knowledge Discovery in Databases 1991: 159-176
	1990
6		Padhraic Smyth, Rodney M. Goodman, Charles M. Higgins: A Hybrid Rule-Based/Bayesian Classifier. ECAI 1990: 610-615
5		Padhraic Smyth: On Stochastic Complexity and Admissible Models for Neural Network Classifiers. NIPS 1990: 818-824
	1989
4		Rodney M. Goodman, Padhraic Smyth: The Induction of Probabilistic Rule Sets - The Itrule Algorithm. ML 1989: 129-132
	1988
3		Rodney M. Goodman, Padhraic Smyth: Information-Theoretic Rule Induction. ECAI 1988: 357-362
2		Rodney M. Goodman, John W. Miller, Padhraic Smyth: An Information Theoretic Approach to Rule-Based Connectionist Expert Systems. NIPS 1988: 256-263
1		Rodney M. Goodman, Padhraic Smyth: Decision tree design from a communication theory standpoint. IEEE Transactions on Information Theory 34(5): 979-994 (1988)

Coauthor Index

1	Chidanand Apté	[64]
2	Lars Asker	[42]
3	Arthur Asuncion	[102] [106] [107]
4	Jayne Aubele	[42]
5	Pierre Baldi	[17] [80]
6	Stephen D. Bay	[50]
7	James Bennett	[101]
8	Michael C. Burl	[17] [18] [19] [27] [42]
9	Igor V. Cadez	[49] [52] [55] [56] [59] [60] [63] [67] [69] [72]
10	Erick Cantú-Paz	[69]
11	Chaitanya Chemudugunta	[93] [95] [97] [103] [105] [108] [109]
12	Darya Chudova	[54] [68] [73] [74] [76] [77]
13	Larry Crumpler	[42]
14	Gautam Das	[43]
15	S. George Djorgovski	[21]
16	Charles Elkan	[101]
17	David Eppstein	[45] [58]
18	Christos Faloutsos	[65]
19	Usama M. Fayyad	[17] [18] [19] [20] [21] [22] [25] [26] [27] [28] [30] [32] [42]
20	Paolo Frasconi	[80]
21	Andrew Fraser	[38]
22	Scott Gaffney	[47] [56] [74] [77] [84]
23	Xianping Ge	[45] [46] [53] [58]
24	Michael Ghil	[38]
25	Clark Glymour	[24] [36]
26	Rodney M. Goodman	[1] [2] [3] [4] [6] [7] [9] [10] [12] [13]
27	Alexander Gray	[22]
28	Thomas L. Griffiths	[81] [85]
29	Kat Hagedorn	[103]
30	Christopher Hart	[76]
31	David Heckerman	[34] [55] [72]
32	Charles M. Higgins	[6] [9]
33	America Holloway	[108]
34	Jon Hutchins	[86] [96] [100]
35	Kayo Ide	[38]
36	Alexander T. Ihler	[92] [96] [100] [107]
37	Alex Ihter	[90]
38	Michael I. Jordan	[34]
39	Chandrika Kamath	[67] [69]
40	Eamonn J. Keogh	[40]
41	Dennis F. Kibler	[50]
42	Seyoung Kim	[83] [88] [89] [91] [94]
43	Sergey Kirshner	[67] [69] [79] [82] [104]
44	Pat Langley	[35]
45	King-Ip Lin	[43]
46	Bing Liu	[64] [101]
47	Stefan Luther	[83]
48	David Madigan	[24] [36]
49	Subramani Mani	[41]
50	Heikki Mannila	[43] [48] [51] [57] [60] [71]
51	Christopher J. Matheus	[16]
52	Geoffrey J. McLachlan	[49] [63]
53	Christine E. McLaren	[49] [63]
54	Christopher Meek	[55] [72]
55	Jeff Mellstrom	[8] [11]
56	John W. Miller	[2] [9] [13]
57	Eric Mjolsness	[76] [77]
58	David Newman	[95] [97] [102] [103] [107]
59	Joshua O'Madadhain	[86]
60	Sridevi Parise	[79]
61	Dmitry Pavlov	[48] [51] [54] [61] [71] [75]
62	Michael J. Pazzani	[41] [50]
63	Edwin P. D. Pednault	[64]
64	Pietro Perona	[17] [18] [19] [27] [42]
65	Gregory Piatetsky-Shapiro	[16] [25] [26] [28] [30] [32]
66	Ian Porteous	[90] [107]
67	Wanda Pratt	[46]
68	Daryl Pregibon	[24] [36] [65]
69	Gregory M. Provan	[35]
70	Gopal Renganathan	[43]
71	Andrew Robertson	[82]
72	Joseph Roden	[38]
73	Michal Rosen-Zvi	[81] [85]
74	William Rodman Shankle	[41]
75	Hal Stern	[88] [94]
76	Mark Steyvers	[81] [85] [93] [97] [105] [108] [109]
77	Domonkos Tikk	[101]
78	Jessica Turner	[88]
79	Ramasamy Uthurusamy	[16] [32]
80	Nicholas Weir	[21]
81	Max Welling	[90] [102] [106] [107]
82	Scott White	[78] [87]
83	Steven White	[55] [72]
84	David Wolpert (David H. Wolpert)	[37] [39] [44]
85	Zheng Zeng	[12]

Colors in the list of coauthors