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Note: Links lead to the DBLP on the Web. Pat Langley 70 Daniel Shapiro , Pat Langley, Ross D. Shachter : Using background knowledge to speed reinforcement learning in physical agents. Agents 2001 : 254-261 69 Sakir Kocabas , Pat Langley: An Integrated Framework for Extended Discovery in Particle Physics. Discovery Science 2001 : 182-195 68 Kazumi Saito , Pat Langley, Trond Grenager , Christopher Potter , Alicia Torregrosa , Steven A. Klooster : Computational Revision of Quantitative Scientific Models. Discovery Science 2001 : 336-349 67 Saso Dzeroski , Pat Langley: Computational Discovery of Communicable Knowledge: Symposium Report. Discovery Science 2001 : 45-49 66 Annaka Kalton , Pat Langley, Kiri Wagstaff , Jungsoon Yoo : Generalized clustering, supervised learning, and data assignment. KDD 2001 : 299-304 65 Pat Langley: The Computational Support of Scientific Discovery. Machine Learning and Its Applications 2001 : 230-248 64 Wayne Iba , Pat Langley: Unsupervised Learning of Probabilistic Concept Hierarchies. Machine Learning and Its Applications 2001 : 39-70 63 Pat Langley, Sean Stromsten : Learning Context-Free Grammars with a Simplicity Bias. ECML 2000 : 220-228 62 Seth Rogers , Claude-Nicolas Flechter , Pat Langley: An Adaptive Interactive Agent for Route Advice. Agents 1999 : 198-205 61 Daniel Shapiro , Pat Langley: Controlling Physical Agents Through Reactive Logic Programming. Agents 1999 : 386-387 60 Pat Langley, Cynthia A. Thompson , Renee Elio , Afsaneh Haddadi : An Adaptive Conversational Interface for Destination Advice. CIA 1999 : 347-364 59 Seth Rogers , Pat Langley, Christopher Wilson : Mining GPS Data to Augment Road Models. KDD 1999 : 104-113 58 David E. Moriarty , Pat Langley: Learning Cooperative Lane Selection Strategies for Highways. AAAI/IAAI 1998 : 684-691 57 Melinda T. Gervasio , Wayne Iba , Pat Langley: Learning to Predict User Operations for Adaptive Scheduling. AAAI/IAAI 1998 : 721-726 56 Pat Langley: The Computer-Aided Discovery of Scientific Knowledge. Discovery Science 1998 : 25-39 55 Simon Handley , Pat Langley, Folke A. Rauscher : Learning to Predict the Duration of an Automobile Trip. KDD 1998 : 219-223 54 Pat Langley: Machine Learning for Intelligent Systems. AAAI/IAAI 1997 : 763-769 53 Pat Langley: Learning to Sense Selectively in Physical Domains. Agents 1997 : 217-226 52 Pat Langley: Machine Learning for Adaptive User Interfaces. KI 1997 : 53-62 51 Avrim Blum , Pat Langley: Selection of Relevant Features and Examples in Machine Learning. Artificial Intelligence 97 (1-2): 245-271 (1997) 50 Pat Langley, Karl Pfleger , Mehran Sahami : Lazy Acquisition of Place Knowledge. Artificial Intelligence Review 11 (1-5): 315-342 (1997) 49 Pat Langley, Gregory M. Provan , Padhraic Smyth : Learning with Probabilistic Representations. Machine Learning 29 (2-3): 91-101 (1997) 48 Pat Langley: Induction of Condensed Determinations. KDD 1996 : 327-330 47 George H. John , Pat Langley: Static Versus Dynamic Sampling for Data Mining. KDD 1996 : 367-370 46 Pat Langley, Karl Pfleger : Case-Based Acquisition of Place Knowledge. ICML 1995 : 344-352 45 Pat Langley, Herbert A. Simon : Applications of Machine Learning and Rule Induction. CACM 38 (11): 54-64 (1995) 44 Pat Langley: Elements of Machine Learning. Morgan Kaufmann 1994 43 Pat Langley, Wayne Iba , Jeff Shrager : Reactive and Automatic Behavior in Plan Execution. AIPS 1994 : 299-304 42 Pat Langley: Induction of Recursive Bayesian Classifiers. ECML 1993 : 153-164 41 Pat Langley, Wayne Iba : Average-Case Analysis of a Nearest Neighbor Algorithm. IJCAI 1993 : 889-894 40 Bernd Nordhausen , Pat Langley: An Integrated Framework for Empirical Discovery. Machine Learning 12 : 17-47 (1993) 39 Pat Langley, Wayne Iba , Kevin Thompson : An Analysis of Bayesian Classifiers. AAAI 1992 : 223-228 38 Kathleen B. McKusick , Pat Langley: Constraints on Tree Structure in Concept Formation. IJCAI 1991 : 810-816 37 Kevin Thompson , Pat Langley, Wayne Iba : Using Background Knowledge in Concept Formation. ML 1991 : 554-558 36 Pat Langley, John A. Allen : The Acquisition of Human Planning Expertise. ML 1991 : 80-84 35 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) 34 Bernd Nordhausen , Pat Langley: A Robust Approach to Numeric Discovery. ML 1990 : 411-418 33 Pat Langley: Advice to Machine Learning Authors. Machine Learning 5 : 233-237 (1990) 32 James Wogulis , Pat Langley: Improving Efficiency by Learning Intermediate Concepts. IJCAI 1989 : 657-662 31 John H. Gennari , Pat Langley, Douglas Fisher : Models of Incremental Concept Formation. Artificial Intelligence 40 (1-3): 11-61 (1989) 30 Pat Langley, Jan M. Zytkow : Data-Driven Approaches to Empirical Discovery. Artificial Intelligence 40 (1-3): 283-312 (1989) 29 Pat Langley: Toward a Unified Science of Machine Learning. Machine Learning 3 : 253-259 (1989) 28 Dennis F. Kibler , Pat Langley: Machine Learning as an Experimental Science. EWSL 1988 : 81-92 27 Donald Rose , Pat Langley: A Hill-Climbing Approach to Machine Discovery. ML 1988 : 367-373 26 Wayne Iba , James Wogulis , Pat Langley: Trading Off Simplicity and Coverage in Incremental concept Learning. ML 1988 : 73-79 25 Pat Langley: Machine Learning as an Experimental Science. Machine Learning 3 : 5-8 (1988) 24 Bernd Nordhausen , Pat Langley: Towards an Integrated Discovery System. IJCAI 1987 : 198-200 23 Wayne Iba , Pat Langley: A computational theory of motor learning. Computational Intelligence 3 : 338-350 (1987) 22 Pat Langley: Machine Learning and Grammar Induction. Machine Learning 2 (1): 5-8 (1987) 21 Pat Langley: Machine Learning and Concept Formation. Machine Learning 2 (2): 99-102 (1987) 20 Pat Langley: Research Papers in Machine Learning. Machine Learning 2 (3): 195-198 (1987) 19 Donald Rose , Pat Langley: STAHLp: Belief Revision in Scientific Discovery. AAAI 1986 : 528-532 18 Pat Langley: On Machine Learning. Machine Learning 1 (1): 5-10 (1986) 17 Pat Langley: Editorial: The Terminology of Machine Learning. Machine Learning 1 (2): 141-144 (1986) 16 Pat Langley: Editorial: Human and Machine Learning. Machine Learning 1 (3): 243-248 (1986) 15 Pat Langley, Ryszard S. Michalski : Machine Learning and Discovery. Machine Learning 1 (4): 363-366 (1986) 14 Donald Rose , Pat Langley: Chemical Discovery as Belief Revision. Machine Learning 1 (4): 423-451 (1986) 13 Douglas Fisher , Pat Langley: Approaches to Conceptual Clustering. IJCAI 1985 : 691-697 12 Pat Langley: Learning to Search: From Weak Methods to Domain-Specific Heuristics. Cognitive Science 9 (2): 217-260 (1985) 11 Pat Langley, Stellan Ohlsson : Automated Cognitive Modeling. AAAI 1984 : 193-197 10 Pat Langley: Learning Effective Search Heuristics. IJCAI 1983 : 419-421 9 Pat Langley, Jan M. Zytkow , Gary L. Bradshaw , Herbert A. Simon : Three Facets of Scientific Discovery. IJCAI 1983 : 465-468 8 Stephanie Sage , Pat Langley: Modeling Cognitive Development on the Balance Scale Task. IJCAI 1983 : 94-96 7 Pat Langley: Representational Issues in Learning Systems. IEEE Computer 16 (10): 47-51 (1983) 6 Pat Langley: Learning Search Strategies through Discrimination. International Journal of Man-Machine Studies 18 (6): 513-541 (1983) 5 Pat Langley: Strategy Acquisition Governed by Experimentation. ECAI 1982 : 171-176 4 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) 3 Pat Langley, Gary L. Bradshaw , Herbert S. Simon : BACON.5: The Discovery of Conservation Laws. IJCAI 1981 : 121-126 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  DiSC'02 © 2003 Association for Computing Machinery |
