Pat Langley

Statistical Learning Theory · 1995–2017

A researcher in the Science corpus: 7 papers; trusts 9 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Statistical Learning Theory — 6 citations into it

Whom Pat Langley trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yoav Freund
2. Temple F. Smith
3. Patrick Henry Winston
4. John R. Anderson
5. Gerald DeJong
6. Donald Michie
7. George H. John
8. J. Ross Quinlan
9. Marvin Minsky
10. John Edwin Laird

Who trusts Pat Langley overall

1. Jaka Demsar
2. Huan Liu
3. Jessica Clark
4. Lei Yu
5. Foster J. Provost
6. Isabelle M Guyon
7. R. Krishnan
8. Usama M. Fayyad
9. Andrew Y. Ng
10. Peter A. Flach

Papers from Pat Langley's perspective

Ordered by how strongly the researchers Pat Langley trusts endorse each paper. Same corpus, a different order for every researcher.

1. Reinforcement Learning: An Introduction
2. Learning structural descriptions from examples
3. Query by committee
4. A framework for representing knowledge
5. Programs for Machine Learning
6. Learnability and the Vapnik-Chervonenkis dimension
7. Active Learning with Statistical Models
8. An integrated theory of the mind.
9. Occam's razor
10. Explanation in second generation expert systems

Their papers

• Cognitive architectures: Research issues and challenges (2009) — 801 citations
• The changing science of machine learning (2011) — 161 citations
• Explainable Agency for Intelligent Autonomous Systems (2017) — 198 citations
• Crafting Papers on Machine Learning (2000) — 1,014 citations
• Proceedings of the Seventeenth International Conference on Machine Learning (ICML-2000) (2000) — 27 citations
• Selection of Relevant Features and Examples in Machine Learning (1997)
• Applications of machine learning and rule induction (1995)