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Pat Langley Vis

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*2008
125EEWill Bridewell, Pat Langley, Ljupco Todorovski, Saso Dzeroski: Inductive process modeling. Machine Learning 71(1): 1-32 (2008)
2007
124 Dongkyu Choi, Tolga Könik, Negin Nejati, Chunki Park, Pat Langley: A Believable Agent for First-Person Shooter Games. AIIDE 2007: 71-73
123EESaso Dzeroski, Pat Langley, Ljupco Todorovski: Computational Discovery of Scientific Knowledge. Computational Discovery of Scientific Knowledge 2007: 1-14
122EEKazumi Saito, Pat Langley: Quantitative Revision of Scientific Models. Computational Discovery of Scientific Knowledge 2007: 120-137
121EEMark 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
120 Pat Langley, Dongkyu Choi: A Unified Cognitive Architecture for Physical Agents. AAAI 2006
119EEWill Bridewell, Pat Langley, Steve Racunas, Stuart R. Borrett: Learning Process Models with Missing Data. ECML 2006: 557-565
118EENima Asgharbeygi, David J. Stracuzzi, Pat Langley: Relational temporal difference learning. ICML 2006: 49-56
117EENegin Nejati, Pat Langley, Tolga Könik: Learning hierarchical task networks by observation. ICML 2006: 665-672
116 Pat Langley: Cognitive Architectures and General Intelligent Systems. AI Magazine 27(2): 33-44 (2006)
115EEPat 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)
114EEWill 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)
113EEPat Langley, Dongkyu Choi: Learning Recursive Control Programs from Problem Solving. Journal of Machine Learning Research 7: 493-518 (2006)
2005
112 Ljupco Todorovski, Will Bridewell, Oren Shiran, Pat Langley: Inducing Hierarchical Process Models in Dynamic Domains. AAAI 2005: 892-897
111EEWill Bridewell, Narges Bani Asadi, Pat Langley, Ljupco Todorovski: Reducing overfitting in process model induction. ICML 2005: 81-88
110EENima Asgharbeygi, Negin Nejati, Pat Langley, Sachiyo Arai: Guiding Inference Through Relational Reinforcement Learning. ILP 2005: 20-37
109EEDongkyu Choi, Pat Langley: Learning Teleoreactive Logic Programs from Problem Solving. ILP 2005: 51-68
108EEPat Langley: An Adaptive Architecture for Physical Agents. Web Intelligence 2005: 18-25
107EERyutaro Ichise, Daniel G. Shapiro, Pat Langley: Structured program induction from behavioral traces. Systems and Computers in Japan 36(11): 49-59 (2005)
2004
106EEDongkyu Choi, Matt Kaufman, Pat Langley, Negin Nejati, Daniel G. Shapiro: An Architecture for Persistent Reactive Behavior. AAMAS 2004: 988-995
105EEStefan Schrödl, Kiri Wagstaff, Seth Rogers, Pat Langley, Christopher Wilson: Mining GPS Traces for Map Refinement. Data Min. Knowl. Discov. 9(1): 59-87 (2004)
104EECynthia A. Thompson, Mehmet H. Göker, Pat Langley: A Personalized System for Conversational Recommendations. J. Artif. Intell. Res. (JAIR) 21: 393-428 (2004)
103EENada 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
102EEDileep George, Kazumi Saito, Pat Langley, Stephen D. Bay, Kevin R. Arrigo: Discovering Ecosystem Models from Time-Series Data. Discovery Science 2003: 141-152
101 Pat Langley, Dileep George, Stephen D. Bay, Kazumi Saito: Robust Induction of Process Models from Time-Series Data. ICML 2003: 432-439
100EEJungsoon P. Yoo, Melinda T. Gervasio, Pat Langley: An adaptive stock tracker for personalized trading advice. IUI 2003: 197-203
99EEJungsoon P. Yoo, Melinda T. Gervasio, Pat Langley: Personalized trading recommendation system. IUI 2003: 332
98EEJavier Nicolás Sánchez, Pat Langley: An interactive environment for scientific model construction. K-CAP 2003: 138-145
97EELonnie Chrisman, Pat Langley, Stephen D. Bay: Incorporating Biological Knowledge into Evaluation of Causal Regulatory Hypotheses. Pacific Symposium on Biocomputing 2003: 128-139
96EEMarcus 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
95EERyutaro Ichise, Daniel G. Shapiro, Pat Langley: Learning Hierarchical Skills from Observation. Discovery Science 2002: 247-258
94EEKazumi Saito, Stephen D. Bay, Pat Langley: Revising Qualitative Models of Gene Regulation. Discovery Science 2002: 59-70
93EEStephen D. Bay, Daniel G. Shapiro, Pat Langley: Revising Engineering Models: Combining Computational Discovery with Knowledge. ECML 2002: 10-22
92 Pat Langley, Javier Nicolás Sánchez, Ljupco Todorovski, Saso Dzeroski: Inducing Process Models from Continuous Data. ICML 2002: 347-354
91 Daniel G. Shapiro, Pat Langley: Separating Skills from Preference: Using Learning to Program by Reward. ICML 2002: 570-577
90EEJeff Shrager, Pat Langley, Andrew Pohorille: Guiding Revision of Regulatory Models with Expression Data. Pacific Symposium on Biocomputing 2002: 486-497
89EEKazumi Saito, Pat Langley: Discovering Empirical Laws of Web Dynamics. SAINT 2002: 168-175
88EEStephen 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
87EEDaniel G. Shapiro, Pat Langley, Ross D. Shachter: Using background knowledge to speed reinforcement learning in physical agents. Agents 2001: 254-261
86EESakir Kocabas, Pat Langley: An Integrated Framework for Extended Discovery in Particle Physics. Discovery Science 2001: 182-195
85EEKazumi Saito, Pat Langley, Trond Grenager, Christopher Potter, Alicia Torregrosa, Steven A. Klooster: Computational Revision of Quantitative Scientific Models. Discovery Science 2001: 336-349
84EESaso Dzeroski, Pat Langley: Computational Discovery of Communicable Knowledge: Symposium Report. Discovery Science 2001: 45-49
83 Mark Schwabacher, Pat Langley: Discovering Communicable Scientific Knowledge from Spatio-Temporal Data. ICML 2001: 489-496
82EEAnnaka Kalton, Pat Langley, Kiri Wagstaff, Jungsoon P. Yoo: Generalized clustering, supervised learning, and data assignment. KDD 2001: 299-304
81EEPat Langley: The Computational Support of Scientific Discovery. Machine Learning and Its Applications 2001: 230-248
80EEWayne Iba, Pat Langley: Unsupervised Learning of Probabilistic Concept Hierarchies. Machine Learning and Its Applications 2001: 39-70
2000
79 Pat Langley: Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Standord, CA, USA, June 29 - July 2, 2000 Morgan Kaufmann 2000
78EEPat Langley, Sean Stromsten: Learning Context-Free Grammars with a Simplicity Bias. ECML 2000: 220-228
77 Pat Langley: Crafting Papers on Machine Learning. ICML 2000: 1207-1216
76EESakir Kocabas, Pat Langley: Computer generation of process explanations in nuclear astrophysics. Int. J. Hum.-Comput. Stud. 53(3): 377-392 (2000)
75EEPat Langley: The computational support of scientific discovery. Int. J. Hum.-Comput. Stud. 53(3): 393-410 (2000)
74EESakir 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)
73EESakir Kocabas, Pat Langley: Computer generation of process explanations in nuclear astrophysics. Int. J. Hum.-Comput. Stud. 53(6): 1149-1164 (2000)
1999
72EESeth Rogers, Claude-Nicolas Fiechter, Pat Langley: An Adaptive Interactive Agent for Route Advice. Agents 1999: 198-205
71EEDaniel G. Shapiro, Pat Langley: Controlling Physical Agents Through Reactive Logic Programming. Agents 1999: 386-387
70EEPat Langley, Cynthia A. Thompson, Renee Elio, Afsaneh Haddadi: An Adaptive Conversational Interface for Destination Advice. CIA 1999: 347-364
69 Melinda T. Gervasio, Wayne Iba, Pat Langley: Learning User Evaluation Functions for Adaptive Scheduling Assistance. ICML 1999: 152-161
68 Pat Langley, Stephanie Sage: Tractable Average-Case Analysis of Naive Bayesian Classifiers. ICML 1999: 220-228
67EESeth Rogers, Pat Langley, Christopher Wilson: Mining GPS Data to Augment Road Models. KDD 1999: 104-113
1998
66 David E. Moriarty, Pat Langley: Learning Cooperative Lane Selection Strategies for Highways. AAAI/IAAI 1998: 684-691
65 Melinda T. Gervasio, Wayne Iba, Pat Langley: Learning to Predict User Operations for Adaptive Scheduling. AAAI/IAAI 1998: 721-726
64EEPat Langley: The Computer-Aided Discovery of Scientific Knowledge. Discovery Science 1998: 25-39
63 Simon Handley, Pat Langley, Folke A. Rauscher: Learning to Predict the Duration of an Automobile Trip. KDD 1998: 219-223
1997
62 Pat Langley: Machine Learning for Intelligent Systems. AAAI/IAAI 1997: 763-769
61 Pat Langley: Learning to Sense Selectively in Physical Domains. Agents 1997: 217-226
60 Pat Langley: Machine Learning for Adaptive User Interfaces. KI 1997: 53-62
59EEAvrim Blum, Pat Langley: Selection of Relevant Features and Examples in Machine Learning. Artif. Intell. 97(1-2): 245-271 (1997)
58 Pat Langley, Karl Pfleger, Mehran Sahami: Lazy Acquisition of Place Knowledge. Artif. Intell. Rev. 11(1-5): 315-342 (1997)
57 Pat Langley, Gregory M. Provan, Padhraic Smyth: Learning with Probabilistic Representations. Machine Learning 29(2-3): 91-101 (1997)
1996
56 Pat Langley: Induction of Condensed Determinations. KDD 1996: 327-330
55 George H. John, Pat Langley: Static Versus Dynamic Sampling for Data Mining. KDD 1996: 367-370
54EEKevin Knight, Pat Langley, Paul R. Cohen: What makes a compelling empirical evaluation? IEEE Expert 11(5): 10-14 (1996)
1995
53 Pat Langley, Karl Pfleger: Case-Based Acquisition of Place Knowledge. ICML 1995: 344-352
52EEGeorge H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. UAI 1995: 338-345
51 Pat Langley, Herbert A. Simon: Applications of Machine Learning and Rule Induction. Commun. ACM 38(11): 54-64 (1995)
1994
50 Pat Langley: Elements of Machine Learning. Morgan Kaufmann 1994
49 Pat Langley, Wayne Iba, Jeff Shrager: Reactive and Automatic Behavior in Plan Execution. AIPS 1994: 299-304
48EEPat Langley, Stephanie Sage: Induction of Selective Bayesian Classifiers. UAI 1994: 399-406
1993
47EEPat Langley: Induction of Recursive Bayesian Classifiers. ECML 1993: 153-164
46 Pat Langley, Wayne Iba: Average-Case Analysis of a Nearest Neighbor Algorithm. IJCAI 1993: 889-894
45 Bernd Nordhausen, Pat Langley: An Integrated Framework for Empirical Discovery. Machine Learning 12: 17-47 (1993)
1992
44 Pat Langley, Wayne Iba, Kevin Thompson: An Analysis of Bayesian Classifiers. AAAI 1992: 223-228
43 Wayne Iba, Pat Langley: Induction of One-Level Decision Trees. ML 1992: 233-240
1991
42 Kathleen B. McKusick, Pat Langley: Constraints on Tree Structure in Concept Formation. IJCAI 1991: 810-816
41 Kevin Thompson, Pat Langley, Wayne Iba: Using Background Knowledge in Concept Formation. ML 1991: 554-558
40 Pat Langley, John A. Allen: The Acquisition of Human Planning Expertise. ML 1991: 80-84
39 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
38 Bernd Nordhausen, Pat Langley: A Robust Approach to Numeric Discovery. ML 1990: 411-418
37 Pat Langley: Advice to Machine Learning Authors. Machine Learning 5: 233-237 (1990)
1989
36 James Wogulis, Pat Langley: Improving Efficiency by Learning Intermediate Concepts. IJCAI 1989: 657-662
35 Pat Langley: Unifying Themes in Empirical and Explanation-Based Learning. ML 1989: 2-4
34 John A. Allen, Pat Langley: Using Concept Hierarchies to Organize Plan Knowledge. ML 1989: 229-231
33 Kevin Thompson, Pat Langley: Incremental Concept Formation with Composite Objects. ML 1989: 371-374
32 John H. Gennari, Pat Langley, Douglas H. Fisher: Models of Incremental Concept Formation. Artif. Intell. 40(1-3): 11-61 (1989)
31 Pat Langley, Jan M. Zytkow: Data-Driven Approaches to Empirical Discovery. Artif. Intell. 40(1-3): 283-312 (1989)
30 Pat Langley: Toward a Unified Science of Machine Learning. Machine Learning 3: 253-259 (1989)
1988
29 Dennis F. Kibler, Pat Langley: Machine Learning as an Experimental Science. EWSL 1988: 81-92
28 Donald Rose, Pat Langley: A Hill-Climbing Approach to Machine Discovery. ML 1988: 367-373
27 Wayne Iba, James Wogulis, Pat Langley: Trading Off Simplicity and Coverage in Incremental concept Learning. ML 1988: 73-79
26 Pat Langley: Machine Learning as an Experimental Science. Machine Learning 3: 5-8 (1988)
1987
25 Bernd Nordhausen, Pat Langley: Towards an Integrated Discovery System. IJCAI 1987: 198-200
24 Wayne Iba, Pat Langley: A computational theory of motor learning. Computational Intelligence 3: 338-350 (1987)
23 Pat Langley: Machine Learning and Grammar Induction. Machine Learning 2(1): 5-8 (1987)
22 Pat Langley: Machine Learning and Concept Formation. Machine Learning 2(2): 99-102 (1987)
21 Pat Langley: Research Papers in Machine Learning. Machine Learning 2(3): 195-198 (1987)
1986
20 Donald Rose, Pat Langley: STAHLp: Belief Revision in Scientific Discovery. AAAI 1986: 528-532
19 Pat Langley: On Machine Learning. Machine Learning 1(1): 5-10 (1986)
18 Pat Langley: Editorial: The Terminology of Machine Learning. Machine Learning 1(2): 141-144 (1986)
17 Pat Langley: Editorial: Human and Machine Learning. Machine Learning 1(3): 243-248 (1986)
16 Pat Langley, Ryszard S. Michalski: Machine Learning and Discovery. Machine Learning 1(4): 363-366 (1986)
15 Donald Rose, Pat Langley: Chemical Discovery as Belief Revision. Machine Learning 1(4): 423-451 (1986)
1985
14 Douglas H. Fisher, Pat Langley: Approaches to Conceptual Clustering. IJCAI 1985: 691-697
13 Pat Langley: Learning to Search: From Weak Methods to Domain-Specific Heuristics. Cognitive Science 9(2): 217-260 (1985)
1984
12 Pat Langley, Stellan Ohlsson: Automated Cognitive Modeling. AAAI 1984: 193-197
1983
11 Pat Langley: Learning Effective Search Heuristics. IJCAI 1983: 419-421
10 Pat Langley, Jan M. Zytkow, Gary L. Bradshaw, Herbert A. Simon: Three Facets of Scientific Discovery. IJCAI 1983: 465-468
9 Stephanie Sage, Pat Langley: Modeling Cognitive Development on the Balance Scale Task. IJCAI 1983: 94-96
8 Pat Langley: Representational Issues in Learning Systems. IEEE Computer 16(10): 47-51 (1983)
7 Pat Langley: Learning Search Strategies through Discrimination. International Journal of Man-Machine Studies 18(6): 513-541 (1983)
1982
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
3EEPat 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

1Pieter W. Adriaans [103]
2John A. Allen [34] [39] [40]
3Sachiyo Arai [110]
4Kevin R. Arrigo [102]
5Narges Bani Asadi [111]
6Nima Asgharbeygi [110] [118]
7Stephen D. Bay [88] [93] [94] [97] [101] [102]
8Dorrit Billman [114]
9Thomas O. Binford [96]
10Avrim Blum [59]
11Stuart R. Borrett [119]
12Gary L. Bradshaw [4] [10]
13Will Bridewell [111] [112] [114] [119] [125]
14Dongkyu Choi [106] [109] [113] [120] [124]
15Lonnie Chrisman [97]
16Paul R. Cohen [54]
17Saso Dzeroski [84] [92] [123] [125]
18Renée Elio (Renee Elio) [70]
19Tom Fawcett [103]
20Claude-Nicolas Fiechter [72]
21Douglas H. Fisher [14] [32]
22Charles Forgy [2]
23John H. Gennari [32]
24Dileep George [101] [102]
25Melinda T. Gervasio [65] [69] [99] [100]
26Mehmet H. Göker [104]
27Trond Grenager [85]
28Afsaneh Haddadi [70]
29Simon Handley [63]
30Robert C. Holte (Robert Holte) [103]
31Wayne Iba [24] [27] [39] [41] [43] [44] [46] [49] [65] [69] [80]
32Ryutaro Ichise [95] [107]
33George H. John [52] [55]
34Annaka Kalton [82]
35Matt Kaufman [106]
36Dennis F. Kibler [29]
37Steven A. Klooster [85] [121]
38Kevin Knight [54]
39Sakir Kocabas [73] [74] [76] [86]
40Tolga Könik [117] [124]
41Nada Lavrac [103]
42Marcus A. Maloof [96]
43John P. McDermott [2]
44Kathleen B. McKusick [39] [42]
45Ryszard S. Michalski [16]
46Tom M. Mitchell [5]
47David E. Moriarty [66]
48Hiroshi Motoda [103]
49Negin Nejati [106] [110] [117] [124]
50Ramakant Nevatia (Ram Nevatia) [96]
51Allen Newell [2]
52Bernd Nordhausen [25] [38] [45]
53Stellan Ohlsson [12]
54Chunki Park [124]
55Karl Pfleger [53] [58]
56Andrew Pohorille [88] [90] [115]
57Christopher Potter [85] [121]
58Gregory M. Provan [57]
59Steve Racunas [119]
60K. Ramakrishna [2]
61Folke A. Rauscher [63]
62Seth Rogers [67] [72] [105]
63Donald Rose [15] [20] [28]
64Michael D. Rychener [2]
65Stephanie Sage [9] [48] [68] [96]
66Mehran Sahami [58]
67Kazumi Saito [85] [89] [94] [101] [102] [122]
68Javier Nicolás Sánchez [92] [98] [114]
69Stefan Schrödl [105]
70Mark Schwabacher [83] [121]
71Ross D. Shachter [87]
72Daniel G. Shapiro [71] [87] [91] [93] [95] [106] [107]
73Oren Shiran [112] [115]
74Jeff Shrager [49] [88] [90] [115]
75Herbert A. Simon [4] [10] [51]
76Derek H. Sleeman [5]
77Padhraic Smyth [57]
78David J. Stracuzzi [118]
79Sean Stromsten [78]
80Cynthia A. Thompson [70] [104]
81Kevin Thompson [33] [39] [41] [44]
82Ljupco Todorovski [92] [111] [112] [115] [123] [125]
83Alicia Torregrosa [85] [121]
84Kiri Wagstaff [82] [105]
85Christopher Wilson [67] [105]
86James Wogulis [27] [36]
87Jungsoon P. Yoo [82] [99] [100]
88Jan M. Zytkow [10] [31]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)