Pat Langley

	2011
136		Pat Langley, Will Bridewell: Combining Data-Driven and Knowledge-Guided Methods to Induce Interpretable Physiological Models. AAAI Spring Symposium: Computational Physiology 2011
135		Mehmet H. Göker, Pat Langley, Cynthia A. Thompson: A Personalized System for Conversational Recommendations CoRR abs/1107.0029: (2011)
134		Pat Langley: The changing science of machine learning. Machine Learning 82(3): 275-279 (2011)
	2010
133		Chunki Park, Will Bridewell, Pat Langley: Integrated Systems for Inducing Spatio-Temporal Process Models. AAAI 2010
132		Pat Langley, Nishant Trivedi, Matt Banister: A Command Language for Taskable Virtual Agents. AIIDE 2010
	2009
131		Pat Langley, John E. Laird, Seth Rogers: Cognitive architectures: Research issues and challenges. Cognitive Systems Research 10(2): 141-160 (2009)
130		Tolga Könik, Paul O'Rorke, Daniel G. Shapiro, Dongkyu Choi, Negin Nejati, Pat Langley: Skill transfer through goal-driven representation mapping. Cognitive Systems Research 10(3): 270-285 (2009)
129		Pat Langley, Dongkyu Choi, Seth Rogers: Acquisition of hierarchical reactive skills in a unified cognitive architecture. Cognitive Systems Research 10(4): 316-332 (2009)
	2008
128		Nicholas L. Cassimatis, Paul Bello, Pat Langley: Ability, Breadth, and Parsimony in Computational Models of Higher-Order Cognition. Cognitive Science 32(8): 1304-1322 (2008)
127		Will Bridewell, Pat Langley, Ljupco Todorovski, Saso Dzeroski: Inductive process modeling. Machine Learning 71(1): 1-32 (2008)
	2007
126		Dongkyu Choi, Tolga Könik, Negin Nejati, Chunki Park, Pat Langley: A Believable Agent for First-Person Shooter Games. AIIDE 2007: 71-73
125		Saso Dzeroski, Pat Langley, Ljupco Todorovski: Computational Discovery of Scientific Knowledge. Computational Discovery of Scientific Knowledge 2007: 1-14
124		Kazumi Saito, Pat Langley: Quantitative Revision of Scientific Models. Computational Discovery of Scientific Knowledge 2007: 120-137
123		Mark Schwabacher, Pat Langley, Christopher Potter, Steven A. Klooster, Alicia Torregrosa: Discovering Communicable Models from Earth Science Data. Computational Discovery of Scientific Knowledge 2007: 138-157
	2006
122		Pat Langley, Dongkyu Choi: A Unified Cognitive Architecture for Physical Agents. AAAI 2006: 1469-1474
121		Will Bridewell, Pat Langley, Steve Racunas, Stuart R. Borrett: Learning Process Models with Missing Data. ECML 2006: 557-565
120		Nima Asgharbeygi, David J. Stracuzzi, Pat Langley: Relational temporal difference learning. ICML 2006: 49-56
119		Negin Nejati, Pat Langley, Tolga Könik: Learning hierarchical task networks by observation. ICML 2006: 665-672
118		Pat Langley: Cognitive Architectures and General Intelligent Systems. AI Magazine 27(2): 33-44 (2006)
117		Pat Langley, Oren Shiran, Jeff Shrager, Ljupco Todorovski, Andrew Pohorille: Constructing explanatory process models from biological data and knowledge. Artificial Intelligence in Medicine 37(3): 191-201 (2006)
116		Will Bridewell, Javier Nicolás Sánchez, Pat Langley, Dorrit Billman: An interactive environment for the modeling and discovery of scientific knowledge. International Journal of Man-Machine Studies 64(11): 1099-1114 (2006)
115		Pat Langley, Dongkyu Choi: Learning Recursive Control Programs from Problem Solving. Journal of Machine Learning Research 7: 493-518 (2006)
	2005
114		Ljupco Todorovski, Will Bridewell, Oren Shiran, Pat Langley: Inducing Hierarchical Process Models in Dynamic Domains. AAAI 2005: 892-897
113		Will Bridewell, Narges Bani Asadi, Pat Langley, Ljupco Todorovski: Reducing overfitting in process model induction. ICML 2005: 81-88
112		Nima Asgharbeygi, Negin Nejati, Pat Langley, Sachiyo Arai: Guiding Inference Through Relational Reinforcement Learning. ILP 2005: 20-37
111		Dongkyu Choi, Pat Langley: Learning Teleoreactive Logic Programs from Problem Solving. ILP 2005: 51-68
110		Pat Langley: An Adaptive Architecture for Physical Agents. Web Intelligence 2005: 18-25
109		Randolph M. Jones, Pat Langley: A Constrained Architecture for Learning and Problem Solving. Computational Intelligence 21(4): 480-502 (2005)
108		Ryutaro Ichise, Daniel G. Shapiro, Pat Langley: Structured program induction from behavioral traces. Systems and Computers in Japan 36(11): 49-59 (2005)
	2004
107		Dongkyu Choi, Matt Kaufman, Pat Langley, Negin Nejati, Daniel G. Shapiro: An Architecture for Persistent Reactive Behavior. AAMAS 2004: 988-995
106		Stefan Schrödl, Kiri Wagstaff, Seth Rogers, Pat Langley, Christopher Wilson: Mining GPS Traces for Map Refinement. Data Min. Knowl. Discov. 9(1): 59-87 (2004)
105		Cynthia A. Thompson, Mehmet H. Göker, Pat Langley: A Personalized System for Conversational Recommendations. J. Artif. Intell. Res. (JAIR) 21: 393-428 (2004)
104		Nada Lavrac, Hiroshi Motoda, Tom Fawcett, Robert Holte, Pat Langley, Pieter W. Adriaans: Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving. Machine Learning 57(1-2): 13-34 (2004)
	2003
103		Dileep George, Kazumi Saito, Pat Langley, Stephen D. Bay, Kevin R. Arrigo: Discovering Ecosystem Models from Time-Series Data. Discovery Science 2003: 141-152
102		Pat Langley, Dileep George, Stephen D. Bay, Kazumi Saito: Robust Induction of Process Models from Time-Series Data. ICML 2003: 432-439
101		Jungsoon P. Yoo, Melinda T. Gervasio, Pat Langley: An adaptive stock tracker for personalized trading advice. IUI 2003: 197-203
100		Jungsoon P. Yoo, Melinda T. Gervasio, Pat Langley: Personalized trading recommendation system. IUI 2003: 332
99		Javier Nicolás Sánchez, Pat Langley: An interactive environment for scientific model construction. K-CAP 2003: 138-145
98		Lonnie Chrisman, Pat Langley, Stephen D. Bay: Incorporating Biological Knowledge into Evaluation of Causal Regulatory Hypotheses. Pacific Symposium on Biocomputing 2003: 128-139
97		Marcus A. Maloof, Pat Langley, Thomas O. Binford, Ramakant Nevatia, Stephanie Sage: Improved Rooftop Detection in Aerial Images with Machine Learning. Machine Learning 53(1-2): 157-191 (2003)
	2002
96		Ryutaro Ichise, Daniel G. Shapiro, Pat Langley: Learning Hierarchical Skills from Observation. Discovery Science 2002: 247-258
95		Kazumi Saito, Stephen D. Bay, Pat Langley: Revising Qualitative Models of Gene Regulation. Discovery Science 2002: 59-70
94		Stephen D. Bay, Daniel G. Shapiro, Pat Langley: Revising Engineering Models: Combining Computational Discovery with Knowledge. ECML 2002: 10-22
93		Pat Langley, Javier Nicolás Sánchez, Ljupco Todorovski, Saso Dzeroski: Inducing Process Models from Continuous Data. ICML 2002: 347-354
92		Daniel G. Shapiro, Pat Langley: Separating Skills from Preference: Using Learning to Program by Reward. ICML 2002: 570-577
91		Jeff Shrager, Pat Langley, Andrew Pohorille: Guiding Revision of Regulatory Models with Expression Data. Pacific Symposium on Biocomputing 2002: 486-497
90		Kazumi Saito, Pat Langley: Discovering Empirical Laws of Web Dynamics. SAINT 2002: 168-175
89		Stephen D. Bay, Jeff Shrager, Andrew Pohorille, Pat Langley: Revising regulatory networks: from expression data to linear causal models. Journal of Biomedical Informatics 35(5-6): 289-297 (2002)
	2001
88		Daniel G. Shapiro, Pat Langley, Ross D. Shachter: Using background knowledge to speed reinforcement learning in physical agents. Agents 2001: 254-261
87		Sakir Kocabas, Pat Langley: An Integrated Framework for Extended Discovery in Particle Physics. Discovery Science 2001: 182-195
86		Kazumi Saito, Pat Langley, Trond Grenager, Christopher Potter, Alicia Torregrosa, Steven A. Klooster: Computational Revision of Quantitative Scientific Models. Discovery Science 2001: 336-349
85		Saso Dzeroski, Pat Langley: Computational Discovery of Communicable Knowledge: Symposium Report. Discovery Science 2001: 45-49
84		Mark Schwabacher, Pat Langley: Discovering Communicable Scientific Knowledge from Spatio-Temporal Data. ICML 2001: 489-496
83		Annaka Kalton, Pat Langley, Kiri Wagstaff, Jungsoon P. Yoo: Generalized clustering, supervised learning, and data assignment. KDD 2001: 299-304
82		Pat Langley: The Computational Support of Scientific Discovery. Machine Learning and Its Applications 2001: 230-248
81		Wayne Iba, Pat Langley: Unsupervised Learning of Probabilistic Concept Hierarchies. Machine Learning and Its Applications 2001: 39-70
	2000
80		Pat Langley: Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29 - July 2, 2000 Morgan Kaufmann 2000
79		Pat Langley, Sean Stromsten: Learning Context-Free Grammars with a Simplicity Bias. ECML 2000: 220-228
78		Pat Langley: Crafting Papers on Machine Learning. ICML 2000: 1207-1216
77		Sakir Kocabas, Pat Langley: Computer generation of process explanations in nuclear astrophysics. Int. J. Hum.-Comput. Stud. 53(3): 377-392 (2000)
76		Pat Langley: The computational support of scientific discovery. Int. J. Hum.-Comput. Stud. 53(3): 393-410 (2000)
75		Sakir Kocabas, Pat Langley: Collaboration, Cooperation and Conflict in Dialogue Systems: Int. J. Human-Computer Studies (2000) 53, 377-392. Int. J. Hum.-Comput. Stud. 53(6): 1147-1147 (2000)
74		Sakir Kocabas, Pat Langley: Computer generation of process explanations in nuclear astrophysics. Int. J. Hum.-Comput. Stud. 53(6): 1149-1164 (2000)
	1999
73		Seth Rogers, Claude-Nicolas Fiechter, Pat Langley: An Adaptive Interactive Agent for Route Advice. Agents 1999: 198-205
72		Daniel G. Shapiro, Pat Langley: Controlling Physical Agents Through Reactive Logic Programming. Agents 1999: 386-387
71		Pat Langley, Cynthia A. Thompson, Renee Elio, Afsaneh Haddadi: An Adaptive Conversational Interface for Destination Advice. CIA 1999: 347-364
70		Melinda T. Gervasio, Wayne Iba, Pat Langley: Learning User Evaluation Functions for Adaptive Scheduling Assistance. ICML 1999: 152-161
69		Pat Langley, Stephanie Sage: Tractable Average-Case Analysis of Naive Bayesian Classifiers. ICML 1999: 220-228
68		Seth Rogers, Pat Langley, Christopher Wilson: Mining GPS Data to Augment Road Models. KDD 1999: 104-113
	1998
67		David E. Moriarty, Pat Langley: Learning Cooperative Lane Selection Strategies for Highways. AAAI/IAAI 1998: 684-691
66		Melinda T. Gervasio, Wayne Iba, Pat Langley: Learning to Predict User Operations for Adaptive Scheduling. AAAI/IAAI 1998: 721-726
65		Pat Langley: The Computer-Aided Discovery of Scientific Knowledge. Discovery Science 1998: 25-39
64		Simon Handley, Pat Langley, Folke A. Rauscher: Learning to Predict the Duration of an Automobile Trip. KDD 1998: 219-223
	1997
63		Pat Langley: Machine Learning for Intelligent Systems. AAAI/IAAI 1997: 763-769
62		Pat Langley: Learning to Sense Selectively in Physical Domains. Agents 1997: 217-226
61		Pat Langley: Machine Learning for Adaptive User Interfaces. KI 1997: 53-62
60		Avrim Blum, Pat Langley: Selection of Relevant Features and Examples in Machine Learning. Artif. Intell. 97(1-2): 245-271 (1997)
59		Pat Langley, Karl Pfleger, Mehran Sahami: Lazy Acquisition of Place Knowledge. Artif. Intell. Rev. 11(1-5): 315-342 (1997)
58		Pat Langley, Gregory M. Provan, Padhraic Smyth: Learning with Probabilistic Representations. Machine Learning 29(2-3): 91-101 (1997)
	1996
57		Pat Langley: Induction of Condensed Determinations. KDD 1996: 327-330
56		George H. John, Pat Langley: Static Versus Dynamic Sampling for Data Mining. KDD 1996: 367-370
55		Kevin Knight, Pat Langley, Paul R. Cohen: What makes a compelling empirical evaluation? IEEE Expert 11(5): 10-14 (1996)
	1995
54		Pat Langley, Karl Pfleger: Case-Based Acquisition of Place Knowledge. ICML 1995: 344-352
53		George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. UAI 1995: 338-345
52		Pat Langley, Herbert A. Simon: Applications of Machine Learning and Rule Induction. Commun. ACM 38(11): 54-64 (1995)
	1994
51		Pat Langley: Elements of Machine Learning. Morgan Kaufmann 1994
50		Pat Langley, Wayne Iba, Jeff Shrager: Reactive and Automatic Behavior in Plan Execution. AIPS 1994: 299-304
49		Pat Langley, Stephanie Sage: Induction of Selective Bayesian Classifiers. UAI 1994: 399-406
	1993
48		Pat Langley: Induction of Recursive Bayesian Classifiers. ECML 1993: 153-164
47		Pat Langley, Wayne Iba: Average-Case Analysis of a Nearest Neighbor Algorithm. IJCAI 1993: 889-894
46		Bernd Nordhausen, Pat Langley: An Integrated Framework for Empirical Discovery. Machine Learning 12: 17-47 (1993)
	1992
45		Pat Langley, Wayne Iba, Kevin Thompson: An Analysis of Bayesian Classifiers. AAAI 1992: 223-228
44		Wayne Iba, Pat Langley: Induction of One-Level Decision Trees. ML 1992: 233-240
	1991
43		Kathleen B. McKusick, Pat Langley: Constraints on Tree Structure in Concept Formation. IJCAI 1991: 810-816
42		Kevin Thompson, Pat Langley, Wayne Iba: Using Background Knowledge in Concept Formation. ML 1991: 554-558
41		Pat Langley, John A. Allen: The Acquisition of Human Planning Expertise. ML 1991: 80-84
40		Pat Langley, Kathleen B. McKusick, John A. Allen, Wayne Iba, Kevin Thompson: A Design for the Icarus Architecture. SIGART Bulletin 2(4): 104-109 (1991)
	1990
39		Bernd Nordhausen, Pat Langley: A Robust Approach to Numeric Discovery. ML 1990: 411-418
38		Pat Langley: Advice to Machine Learning Authors. Machine Learning 5: 233-237 (1990)
	1989
37		James Wogulis, Pat Langley: Improving Efficiency by Learning Intermediate Concepts. IJCAI 1989: 657-662
36		Pat Langley: Unifying Themes in Empirical and Explanation-Based Learning. ML 1989: 2-4
35		John A. Allen, Pat Langley: Using Concept Hierarchies to Organize Plan Knowledge. ML 1989: 229-231
34		Kevin Thompson, Pat Langley: Incremental Concept Formation with Composite Objects. ML 1989: 371-374
33		John H. Gennari, Pat Langley, Douglas H. Fisher: Models of Incremental Concept Formation. Artif. Intell. 40(1-3): 11-61 (1989)
32		Pat Langley, Jan M. Zytkow: Data-Driven Approaches to Empirical Discovery. Artif. Intell. 40(1-3): 283-312 (1989)
31		Pat Langley: Toward a Unified Science of Machine Learning. Machine Learning 3: 253-259 (1989)
	1988
30		Dennis F. Kibler, Pat Langley: Machine Learning as an Experimental Science. EWSL 1988: 81-92
29		Donald Rose, Pat Langley: A Hill-Climbing Approach to Machine Discovery. ML 1988: 367-373
28		Wayne Iba, James Wogulis, Pat Langley: Trading Off Simplicity and Coverage in Incremental concept Learning. ML 1988: 73-79
27		Pat Langley: Machine Learning as an Experimental Science. Machine Learning 3: 5-8 (1988)
	1987
26		Bernd Nordhausen, Pat Langley: Towards an Integrated Discovery System. IJCAI 1987: 198-200
25		Wayne Iba, Pat Langley: A computational theory of motor learning. Computational Intelligence 3: 338-350 (1987)
24		Pat Langley: Machine Learning and Grammar Induction. Machine Learning 2(1): 5-8 (1987)
23		Pat Langley: Machine Learning and Concept Formation. Machine Learning 2(2): 99-102 (1987)
22		Pat Langley: Research Papers in Machine Learning. Machine Learning 2(3): 195-198 (1987)
	1986
21		Donald Rose, Pat Langley: STAHLp: Belief Revision in Scientific Discovery. AAAI 1986: 528-532
20		Pat Langley: On Machine Learning. Machine Learning 1(1): 5-10 (1986)
19		Pat Langley: Editorial: The Terminology of Machine Learning. Machine Learning 1(2): 141-144 (1986)
18		Pat Langley: Editorial: Human and Machine Learning. Machine Learning 1(3): 243-248 (1986)
17		Pat Langley, Ryszard S. Michalski: Machine Learning and Discovery. Machine Learning 1(4): 363-366 (1986)
16		Donald Rose, Pat Langley: Chemical Discovery as Belief Revision. Machine Learning 1(4): 423-451 (1986)
	1985
15		Douglas H. Fisher, Pat Langley: Approaches to Conceptual Clustering. IJCAI 1985: 691-697
14		Pat Langley: Learning to Search: From Weak Methods to Domain-Specific Heuristics. Cognitive Science 9(2): 217-260 (1985)
	1984
13		Pat Langley, Stellan Ohlsson: Automated Cognitive Modeling. AAAI 1984: 193-197
	1983
12		Pat Langley: Learning Effective Search Heuristics. IJCAI 1983: 419-421
11		Pat Langley, Jan M. Zytkow, Gary L. Bradshaw, Herbert A. Simon: Three Facets of Scientific Discovery. IJCAI 1983: 465-468
10		Stephanie Sage, Pat Langley: Modeling Cognitive Development on the Balance Scale Task. IJCAI 1983: 94-96
9		Pat Langley: Representational Issues in Learning Systems. IEEE Computer 16(10): 47-51 (1983)
8		Pat Langley: Learning Search Strategies through Discrimination. International Journal of Man-Machine Studies 18(6): 513-541 (1983)
	1982
7		Pat Langley: A Model of Early Syntactic Development. ACL 1982: 145-151
6		Pat Langley: Strategy Acquisition Governed by Experimentation. ECAI 1982: 171-176
5		Derek H. Sleeman, Pat Langley, Tom M. Mitchell: Learning from Solution Paths: An Approach to the Credit Assignment Problem. AI Magazine 3(2): 48-52 (1982)
	1981
4		Pat Langley, Gary L. Bradshaw, Herbert A. Simon: BACON.5: The Discovery of Conservation Laws. IJCAI 1981: 121-126
	1980
3		Pat Langley: A Production System Model Of First Language Acquisition. COLING 1980: 183-189
	1977
2		Michael D. Rychener, Charles Forgy, Pat Langley, John P. McDermott, Allen Newell, K. Ramakrishna: Problems in Building an Instructable Production System. IJCAI 1977: 337
1		Pat Langley: BACON: A Production System That Discovers Empirical Laws. IJCAI 1977: 344-344

Coauthor Index

1	Pieter W. Adriaans	[104]
2	John A. Allen	[35] [40] [41]
3	Sachiyo Arai	[112]
4	Kevin R. Arrigo	[103]
5	Narges Bani Asadi	[113]
6	Nima Asgharbeygi	[112] [120]
7	Matt Banister	[132]
8	Stephen D. Bay	[89] [94] [95] [98] [102] [103]
9	Paul Bello	[128]
10	Dorrit Billman	[116]
11	Thomas O. Binford	[97]
12	Avrim Blum	[60]
13	Stuart R. Borrett	[121]
14	Gary L. Bradshaw	[4] [11]
15	Will Bridewell	[113] [114] [116] [121] [127] [133] [136]
16	Nicholas L. Cassimatis	[128]
17	Dongkyu Choi	[107] [111] [115] [122] [126] [129] [130]
18	Lonnie Chrisman	[98]
19	Paul R. Cohen	[55]
20	Saso Dzeroski	[85] [93] [125] [127]
21	Renée Elio (Renee Elio)	[71]
22	Tom Fawcett	[104]
23	Claude-Nicolas Fiechter	[73]
24	Douglas H. Fisher	[15] [33]
25	Charles Forgy	[2]
26	John H. Gennari	[33]
27	Dileep George	[102] [103]
28	Melinda T. Gervasio	[66] [70] [100] [101]
29	Mehmet H. Göker	[105] [135]
30	Trond Grenager	[86]
31	Afsaneh Haddadi	[71]
32	Simon Handley	[64]
33	Robert C. Holte (Robert Holte)	[104]
34	Wayne Iba	[25] [28] [40] [42] [44] [45] [47] [50] [66] [70] [81]
35	Ryutaro Ichise	[96] [108]
36	George H. John	[53] [56]
37	Randolph M. Jones	[109]
38	Annaka Kalton	[83]
39	Matt Kaufman	[107]
40	Dennis F. Kibler	[30]
41	Steven A. Klooster	[86] [123]
42	Kevin Knight	[55]
43	Sakir Kocabas	[74] [75] [77] [87]
44	Tolga Könik	[119] [126] [130]
45	John E. Laird	[131]
46	Nada Lavrac	[104]
47	Marcus A. Maloof	[97]
48	John P. McDermott	[2]
49	Kathleen B. McKusick	[40] [43]
50	Ryszard S. Michalski	[17]
51	Tom M. Mitchell	[5]
52	David E. Moriarty	[67]
53	Hiroshi Motoda	[104]
54	Negin Nejati	[107] [112] [119] [126] [130]
55	Ramakant Nevatia (Ram Nevatia)	[97]
56	Allen Newell	[2]
57	Bernd Nordhausen	[26] [39] [46]
58	Paul O'Rorke	[130]
59	Stellan Ohlsson	[13]
60	Chunki Park	[126] [133]
61	Karl Pfleger	[54] [59]
62	Andrew Pohorille	[89] [91] [117]
63	Christopher Potter	[86] [123]
64	Gregory M. Provan	[58]
65	Steve Racunas	[121]
66	K. Ramakrishna	[2]
67	Folke A. Rauscher	[64]
68	Seth Rogers	[68] [73] [106] [129] [131]
69	Donald Rose	[16] [21] [29]
70	Michael D. Rychener	[2]
71	Stephanie Sage	[10] [49] [69] [97]
72	Mehran Sahami	[59]
73	Kazumi Saito	[86] [90] [95] [102] [103] [124]
74	Javier Nicolás Sánchez	[93] [99] [116]
75	Stefan Schrödl	[106]
76	Mark Schwabacher	[84] [123]
77	Ross D. Shachter	[88]
78	Daniel G. Shapiro	[72] [88] [92] [94] [96] [107] [108] [130]
79	Oren Shiran	[114] [117]
80	Jeff Shrager	[50] [89] [91] [117]
81	Herbert A. Simon	[4] [11] [52]
82	Derek H. Sleeman	[5]
83	Padhraic Smyth	[58]
84	David J. Stracuzzi	[120]
85	Sean Stromsten	[79]
86	Cynthia A. Thompson	[71] [105] [135]
87	Kevin Thompson	[34] [40] [42] [45]
88	Ljupco Todorovski	[93] [113] [114] [117] [125] [127]
89	Alicia Torregrosa	[86] [123]
90	Nishant Trivedi	[132]
91	Kiri Wagstaff (Kiri L. Wagstaff)	[83] [106]
92	Christopher Wilson	[68] [106]
93	James Wogulis	[28] [37]
94	Jungsoon P. Yoo	[83] [100] [101]
95	Jan M. Zytkow	[11] [32]

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