Bay, S. D., Shrager, J., Pohorille, A., & Langley, P. (2003).
Revising regulatory networks: From expression data to linear causal
models. Journal of Biomedical Informatics, 35, 289-297.
Saito, K., George, D., Bay, S., & Shrager, J. (2003).
Inducing biological models from temporal gene expression data.
Proceedings of the Sixth International Conference on Discovery
Systems. Sapporo, Japan.
Langley, P., Shapiro, D., Aycinena, M., & Siliski, M. (2003).
A value-driven architecture for intelligent behavior.
Proceedings of the IJCAI-2003 Workshop on Cognitive Modeling of
Agents and Multi-Agent Interactions (pp. 10-18). Acapulco, Mexico.
Yoo, J., Gervasio, M., & Langley, P. (2003).
An adaptive stock tracker for personalized trading advice.
Proceedings of the International Conference on Intelligent User
Interfaces (pp. 197-203). Miami, Florida.
Chrisman, L., Langley, P., Bay, S., & Pohorille, A. (2003).
Incorporating biological knowledge into evaluation of causal
regulatory hypotheses.
Proceedings of the Pacific Symposium on Biocomputing (pp. 128-139).
Lihue, Hawaii.
2002
Saito, K., Bay, S., & Langley, P. (2002).
Revising qualitative models of gene regulation. Proceedings
of the Fifth International Conference on Discovery Science
(pp. 59-70).
Langley, P. (2002).
Lessons for the computational discovery of scientific knowledge.
Proceedings of First International Workshop on Data Mining Lessons
Learned (pp. 9-12). Sydney.
Bay, S. D., Shapiro, D. G., & Langley, P. (2002).
Revising engineering models: Combining computational discovery with
knowledge. Proceedings of the Thirteenth European Conference
on Machine Learning (pp. 10-22). Helsinki, Finland.
Ichise, R., Shapiro, D. G., & Langley, P. (2002).
Learning hierarchical skills from observation. Proceedings of
the Fifth International Conference on Discovery Science
(pp. 247-258).
Langley, P., Sanchez, J., Todorovski, L., & Dzeroski, S. (2002).
Inducing process models from continuous data. Proceedings of
the Nineteenth International Conference on Machine Learning
(pp. 347-354). Sydney: Morgan Kaufmann.
Shapiro, D., & Langley, P. (2002).
Separating skills from preference: Using learning to program by reward.
Proceedings of the Nineteenth International Conference on Machine
Learning (pp. 570-577). Sydney: Morgan Kaufmann.
Langley, P., Shrager, J., & Saito, K. (2002).
Computational discovery of communicable scientific knowledge.
In L. Magnani, N. J. Nersessian, & C. Pizzi (Eds.),
Logical and Computational Aspects of Model-Based Reasoning.
Dordrecht: Kluwer Academic.
Shrager, J., Langley, P., & Pohorille, A. (2002).
Guiding revision of regulatory models with expression data.
Proceedings of the Pacific Symposium on Biocomputing
(pp. 486-497). Lihue, Hawaii.
2001
Saito, K., Langley, P., Grenager, T., Potter, C., Torregrosa, A., &
Klooster, S. A. (2001).
Computational revision of quantitative scientific models.
Proceedings of the Fourth International Conference on Discovery
Science (pp. 336-349). Washington, D.C.: Springer.
Kocabas, S., & Langley, P. (2001).
An integrated framework for extended discovery in particle physics.
Proceedings of the Fourth International Conference on Discovery
Science (pp. 182-195). Washington, D.C.: Springer.
Dzeroski, S., & Langley, P. (2001).
Computational discovery of communicable knowledge: Symposium report.
Proceedings of the Fourth International Conference on Discovery
Science (pp. 45-49). Washington, D.C.: Springer.
Kalton, A., Langley, P., Wagstaff, K., & Yoo, J. (2001).
Generalized clustering, supervised learning, and data assignment.
Proceedings of the Seventh International Conference on Knowledge
Discovery and Data Mining (pp. 299-304). San Francisco: ACM Press.
Iba, W., & Langley, P. (2001).
Unsupervised learning of probabilistic concept hierarchies.
In G. Paliouras, V. Karkaletsis, & C. D. Spyropoulos (Eds).,
Machine learning and its applications. Berlin: Springer.
Langley, P., Magnani, L., Cheng, P. C.-H., Gordon, A., Kocabas, S., &
Sleeman, D. H. (2001).
Computational models of historical scientific discoveries.
Proceedings of the Twenty-Third Annual Conference of the Cognitive
Science Society (p. 3). Edinburgh: Lawrence Erlbaum.
Schwabacher, M., & Langley, P. (2001).
Discovering communicable scientific knowledge from spatio-temporal data.
Proceedings of the Eighteenth International Conference on Machine
Learning (pp. 489-496). Williamstown, MA: Morgan Kaufmann.
Shapiro, D., Langley, P., & Shachter, R. (2001).
Using background knowledge to speed reinforcement learning in physical
agents.
Proceedings of the Fifth International Conference on Autonomous
Agents (pp. 254-261). Montreal: ACM Press.
2000
Langley, P. (2000).
Crafting papers on machine learning.
Proceedings of the Seventeenth International Conference on Machine
Learning (pp. 1207-1211). Stanford, CA: Morgan Kaufmann.
Langley, P. (2000).
The maturing science of machine learning.
Proceedings of the Seventeenth International Conference on Machine
Learning (pp. xi-xii). Stanford, CA: Morgan Kaufmann.
Langley, P., & Stromsten, S. (2000).
Learning context-free grammars with a simplicity bias.
Proceedings of the Eleventh European Conference on Machine
Learning (pp. 220-228). Barcelona: Springer-Verlag.
Langley, P. (2000).
The computational support of scientific discovery.
International Journal of Human-Computer Studies, 53,
393-410.
Kocabas, S., & Langley, P. (2000).
Computer generation of process explanations in nuclear astrophysics.
International Journal of Human-Computer Studies, 53,
1149-1164.
1999
Langley, P., Thompson, C., Elio, R. & Haddadi, A. (1999).
An adaptive conversational interface for destination advice.
Proceedings of the Third International Workshop on Cooperative
Information Agents (pp. 347-364). Uppsala, Sweden.
Langley, P. (1999).
User modeling in adaptive interfaces.
Proceedings of the Seventh International Conference on User
Modeling (pp. 357-370). Banff, Alberta: Springer.
Rogers, S., Langley, P., & Wilson, C. (1999).
Mining GPS data to augment road models.
Proceedings of the Fifth International Conference on Knowledge
Discovery and Data Mining (pp. 104-113). San Diego, CA: ACM Press.
Langley, P. (1999).
Concrete and abstract models of category learning.
Proceedings of the Twenty-First Annual Conference of the Cognitive
Science Society (pp. 288-293). Vancouver, BC: Lawrence Erlbaum.
Gervasio, M. T., Iba, W., & Langley, P. (1999).
Learning user evaluation functions for adaptive scheduling assistance.
Proceedings of the Sixteenth International Conference on Machine
Learning (pp. 152-161). Bled, Slovenia: Morgan Kaufmann.
Langley, P., & Sage, S. (1999).
Tractable average-case analysis of naive Bayesian classifiers.
Proceedings of the Sixteenth International Conference on Machine
Learning (pp. 220-228). Bled, Slovenia: Morgan Kaufmann.
Rogers, S., Fiechter, C., & Langley, P. (1999).
An adaptive interactive agent for route advice.
Proceedings of the Third International Conference on Autonomous
Agents (pp. 198-205). Seattle: ACM Press.
Shapiro, D., & Langley, P. (1999).
Controlling physical agents through reactive logic programming.
Proceedings of the Third International Conference on Autonomous
Agents (pp. 386-387). Seattle: ACM Press.
Rogers, S., Fiechter, C., & Langley, P. (1999).
A route advice agent that models driver preferences.
Proceedings of the AAAI Spring Symposium on Agents with Adjustable
Autonomy. Stanford, CA: AAAI Press.
1998
Langley, P., & Fehling, M. (1998).
The experimental study of adaptive user interfaces (Technical Report
98-3). Institute for the Study of Learning and Expertise, Palo Alto, CA.
Ali, K. M., Langley, P., Maloof, M. A., Binford, T. O., & Sage, S.
(1998).
Improving rooftop detection with interactive visual learning.
Proceedings of the DARPA Image Understanding Workshop
(pp. 479-492). Monterrey, CA: Morgan Kaufmann.
Langley, P. (1998).
The computer-aided discovery of scientific knowledge.
Proceedings of the First International Conference on Discovery
Science. Fukuoka, Japan:
Springer.
Maloof, M. A., Langley, P., Binford, T. O., & Nevatia, R. (1998).
Generalizing over aspect and location for rooftop detection.
Proceedings of the Fourth IEEE Workshop on Applications of Computer
Vision (pp. 194-199). Princeton, NJ: IEEE Press.
Kocabas, S., & Langley, P. (1998).
Generating process explanations in nuclear astrophysics.
Proceedings of the ECAI-98 Workshop on Machine Discovery
(pp. 4-9). Brighton, UK.
Iba, W., Gervasio, M., Langley, P., & Sage, S. (1998).
Evaluating computational assistance for crisis response.
Proceedings of the Twentieth Annual Meeting of the Cognitive
Science Society (pp. 514-519). Madison, WI: Lawrence Erlbaum.
Handley, S., Langley, P., & Rauscher, F. A. (1998).
Learning to predict the duration of an automobile trip.
Proceedings of the Fourth International Conference on Knowledge
Discovery and Data Mining (pp. 219-223). New York: AAAI Press.
Yamauchi, B., Langley, P., Schultz, A. C., Grefenstette, J., &
Adams, W. (1998).
Magellan: An integrated adaptive architecture for mobile robotics
(Technical Report 98-2). Institute for the Study of Learning and
Expertise, Palo Alto, CA.
Gervasio, M., Iba, W., & Langley, P. (1998).
Case-based seeding for an interactive crisis response assistant.
Proceedings of the AAAI-98 Workshop on Case-Based Reasoning Integrations.
Madison, WI.
Maloof, M. A., Langley, P., Binford, T., & Sage, S. (1998).
Improving rooftop detection in aerial images through machine learning
(Technical Report 98-1). Institute for the Study of Learning and
Expertise, Palo Alto, CA.
Moriarty, D. E., Handley, S., & Langley, P. (1998).
Learning distributed strategies for traffic control.
Proceedings of the Fifth International Conference of the Society
for Adaptive Behavior (pp. 437-446). Zurich, Switzerland.
Gervasio, M., Iba, W., & Langley, P. (1998).
Learning to predict user operations for adaptive scheduling.
Proceedings of the Fifteenth National Conference on Artificial
Intelligence (pp. 721-726). Madison, WI: AAAI Press.
Moriarty, D., & Langley, P. (1998).
Learning cooperative lane selection strategies for highways.
Proceedings of the Fifteenth National Conference on Artificial
Intelligence (pp. 684-691). Madison, WI: AAAI Press.
Gervasio, M., Iba, W., Langley, P., & Sage, S. (1998).
Interactive adaptation for crisis response.
Proceedings of the AIPS-98 Workshop on Interactive and Collaborative
Planning (pp. 29-36). Pittsburgh, PA.
Rogers, S., & Langley, P. (1998).
Interactive refinement of route preferences for driving.
Proceedings of the AAAI Spring Symposium on Interactive and
Mixed-Initiative Decision-Theoretic Systems (pp. 109-113).
Stanford, CA: AAAI Press.
Moriarty, D., & Langley, P. (1998).
Distributed learning of lane-selection strategies for traffic management
(Technical Report 98-2).
Daimler-Benz Research & Technology Center, Palo Alto, CA.
1997
Langley, P., Provan, G. M., & Smyth, P. (1997).
Learning with probabilistic representations.
Machine Learning, 29, 91-101.
Blum, A., & Langley, P. (1997).
Selection of relevant features and examples in machine learning.
Artificial Intelligence, 97, 245-271.
Langley, P. (1997), & Shafto, M. G. (1997).
Expanding our mental horizons.
Proceedings of the Nineteenth Annual Conference of the Cognitive
Science Society (pp. xxi-xxii). Mahwah, NJ: Lawrence Erlbaum.
Langley, P. (1997).
Machine learning for adaptive user interfaces.
Proceedings of the 21st German Annual Conference on Artificial
Intelligence (pp. 53-62). Freiburg, Germany: Springer.
Langley, P. (1997).
Machine learning for intelligent systems.
Proceedings of the Fourteenth National Conference on Artificial
Intelligence (pp. 763-769). Providence, RI: AAAI Press.
Rogers, S., Langley, P., Johnson, B., & Liu, A. (1997).
Personalization of the automotive information environment.
Proceedings of the Workshop on Machine Learning in the Real World:
Methodological Aspects and Implications. Nashville, TN.
Maloof, M. A., Langley, P., Sage, S., & Binford, T. (1997).
Learning to detect rooftops in aerial images.
Proceedings of the 1997 Image Understanding Workshop (pp. 835-845).
New Orleans: Morgan Kaufmann.
Yamauchi, B., & Langley, P. (1997).
Place recognition in dynamic environments.
Journal of Robotic Systems, 14, 107-120.
Kohavi, R., Langley, P., & Yun, Y. (1997).
The utility of feature weighting in nearest-neighbor algorithms.
Proceedings of the Ninth European Conference on Machine Learning.
Prague: Springer-Verlag.
Langley, P. (1997).
Learning to sense selectively in physical domains.
Proceedings of the First International Conference on Autonomous Agents
(pp. 217-226). Marina del Rey, CA: ACM Press.
Langley, P., Pfleger, K., & Sahami, M. (1997).
Lazy acquisition of place knowledge.
Artificial Intelligence Review, 11, 315-342.
Langley, P., & Sage, S. (1997).
Scaling to domains with irrelevant features.
In R. Greiner (Ed.), Computational learning theory and natural
learning systems (Vol. 4). Cambridge, MA: MIT Press.
1996
Langley, P. (1996).
An abstract computational model of learning selective sensing skills.
Proceedings of the Eighteenth Annual Conference of the Cognitive Science
Society (pp. 385-390). San Diego: Lawrence Erlbaum Publishers.
Langley, P. (1996).
Induction of condensed determinations.
Proceedings of the Second International Conference of Knowledge
Discovery and Data Mining (pp. 327-330). Portland: AAAI Press.
Yamauchi, B., & Langley, P. (1996).
Place learning in dynamic real-world environments.
Proceedings of RoboLearn-96: International Workshop for Learning
in Autonomous Robots (pp. 123-129). Key West, FL.
John, G. H., & Langley, P. (1996).
Static vs. dynamic sampling for data mining.
Proceedings of the Second International Conference of Knowledge
Discovery and Data Mining (pp. 367-370). Portland: AAAI Press.
Provan, G., Langley, P., & Binford, T.O. (1996).
Probabilistic learning of three-dimensional object models.
Proceedings of the Image Understanding Workshop (pp. 1403-1413).
Palm Springs, CA: Morgan Kaufmann.
Langley, P. (October, 1996).
Relevance and insight in experimental studies.
IEEE Expert, 11-12.
1995
Langley, P., & Simon, H. A. (1995).
Applications of machine learning and rule induction.
Communications of the ACM, 38, November, 55-64.
Langley, P. (1995).
Order effects in incremental learning.
In P. Reimann & H. Spada (Eds.), Learning in humans and machines:
Towards an interdisciplinary learning science. Oxford: Elsevier.
Jones, R., & Langley, P. (1995).
Retrieval and learning in analogical problem solving.
Proceedings of the Seventeenth Conference of the Cognitive Science
Society (pp. 466-471). Pittsburgh: Lawrence Erlbaum.
Langley, P., & Pfleger, K. (1995).
Case-based acquisition of place knowledge.
Proceedings of the Twelfth International Conference on Machine Learning
(pp. 244-352). Lake Tahoe, CA: Morgan Kaufmann.
John, G. H., & Langley, P. (1995).
Estimating continuous distributions in Bayesian classifiers.
Proceedings of the Eleventh Conference on Uncertainty in
Artificial Intelligence (pp. 338-345). Montreal, Quebec: Morgan
Kaufmann.
1994
Langley, P. (1994).
Selection of relevant features in machine learning.
Proceedings of the AAAI Fall Symposium on Relevance. New Orleans:
AAAI Press.
Langley, P., Binford, T. O., & Levitt, T. S. (1994).
Learning object models from visual observation and background
knowledge. Proceedings of the Image Understanding Workshop.
Monterrey, CA.
Bowyer, K. W., Hall, L. O., Langley, P., Bhanu, B., & Draper, B. A.
(1994).
Report of the AAAI fall symposium on machine learning and computer
vision: What, why and how.
Proceedings of the Image Understanding Workshop. Monterrey, CA.
Langley, P., Drastal, G., Rao, R. B., & Greiner, R. (1994).
Theory revision in fault hierarchies.
Proceedings of the Fifth International Workshop on Principles of
Diagnosis. New Paltz, NY.
Langley, P., & Sage, S. (1994).
Induction of selective Bayesian classifiers.
Proceedings of the Tenth Conference on Uncertainty in Artificial
Intelligence (pp. 399-406). Seattle, WA: Morgan Kaufmann.
Langley, P., & Sage, S. (1994).
Oblivious decision trees and abstract cases.
Working Notes of the AAAI94 Workshop on Case-Based Reasoning
(pp. 113-117). Seattle, WA: AAAI Press.
Langley, P., Iba, W., & Shrager, J. (1994).
Reactive and automatic behavior in plan execution.
Proceedings of the Second International Conference on AI Planning
Systems (pp. 299-304). Chicago: AAAI Press.
