Machine Learning 1986 — papers
The works of Machine Learning published in 1986 that our library holds (publisher: Springer Science+Business Media): 1 work, listed below with the most cited first; each has a page with our summary, its key points and its references.
Most cited papers
- Induction of Decision Trees ↗J. R. Quinlan21,170 citations
- Explanation-Based Generalization: A Unifying View ↗Tom M. Mitchell, Richard M. Keller, Smadar T. Kedar-Cabelli1,174 citations
- Editorial: On Machine Learning ↗Pat Langley951 citations
- Explanation-Based Learning: An Alternative ViewGERALD F. DEJONG, Raymond J. Mooney950 citations · our summary
- Explanation-based generalization: A unifying view ↗Tom M. Mitchell, Richard M. Keller, Smadar T. Kedar-Cabelli711 citations
- Incremental Learning from Noisy Data ↗Jeffrey C. Schlimmer, Richard Granger653 citations
- Chunking in Soar: The Anatomy of a General Learning Mechanism ↗John E. Laird, Paul S. Rosenbloom, Allen Newell507 citations
- Chunking in Soar: The anatomy of a general learning mechanism ↗John E. Laird, Paul S. Rosenbloom, Allen Newell287 citations
- Learning at the Knowledge Level ↗Thomas G. Dietterich221 citations
- Integrating Quantitative and Qualitative Discovery: The ABACUS System ↗Brian C. Falkenhainer, Ryszard S. Michalski179 citations
All works of the year (31)
- Induction of Decision Trees ↗J. R. Quinlan21,170 citations
- Explanation-Based Generalization: A Unifying View ↗Tom M. Mitchell, Richard M. Keller, Smadar T. Kedar-Cabelli1,174 citations
- Editorial: On Machine Learning ↗Pat Langley951 citations
- Explanation-Based Learning: An Alternative ViewGERALD F. DEJONG, Raymond J. Mooney950 citations · our summary
- Explanation-based generalization: A unifying view ↗Tom M. Mitchell, Richard M. Keller, Smadar T. Kedar-Cabelli711 citations
- Incremental Learning from Noisy Data ↗Jeffrey C. Schlimmer, Richard Granger653 citations
- Chunking in Soar: The Anatomy of a General Learning Mechanism ↗John E. Laird, Paul S. Rosenbloom, Allen Newell507 citations
- Chunking in Soar: The anatomy of a general learning mechanism ↗John E. Laird, Paul S. Rosenbloom, Allen Newell287 citations
- Learning at the Knowledge Level ↗Thomas G. Dietterich221 citations
- Integrating Quantitative and Qualitative Discovery: The ABACUS System ↗Brian C. Falkenhainer, Ryszard S. Michalski179 citations
- A General Framework for Induction and a Study of Selective Induction ↗Larry A. Rendell138 citations
- Determining Arguments of Invariant Functional Descriptions ↗Mieczyslaw M. Kokar87 citations
- A Theory of Historical Discovery: The Construction of Componential Models ↗Jan M. Żytkow, Herbert A. Simon81 citations
- Chemical Discovery as Belief Revision ↗Donald Rose, Pat Langley74 citations
- Integrating quantitative and qualitative discovery: The ABACUS system ↗Brian C. Falkenhainer, Ryszard S. Michalski55 citations
- Integrating Qualitative and Quantitative Discovery : The ABACUS System ↗Brian C. Falkenhainer54 citations
- Experimental Goal Regression: A Method for Learning Problem-Solving Heuristics ↗Bruce Porter, Dennis F. Kibler44 citations
- Editorial: On machine learning ↗Pat Langley9 citations
- Editorial: Machine Learning and Discovery ↗Pat Langley, Ryszard S. Michalski5 citations
- News and Notes ↗4 citations
- Editorial: The Terminology of Machine Learning ↗Pat Langley3 citations
- Editorial: Machine learning and discovery ↗Pat Langley, Ryszard S. Michalski2 citations
- Editorial: The terminology of machine learning ↗Pat Langley2 citations
- Editorial: Human and Machine Learning ↗Pat Langley1 citation
See all 31 papers in Machine Learning 1986 — papers →
Works with our summary in our library (1)
- Explanation-based learning: An alternative viewMachine LearningGerald DeJong, Raymond Mooney1986 · 968 citations
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