--- title: "Machine Learning 1986 — papers — Elamur Research" description: "Machine Learning 1986 — papers: 1 paper in the Elamur Research library, with our summaries, ranked by citations." canonical: "https://research.elamur.ai/free/en/venues/machine-learning/1986/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/machine-learning/1986/) [home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [Machine Learning](https://md.research.elamur.ai/free/en/venues/machine-learning/) / 1986 # 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. [**31** works that year](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/machine-learning/1986/#works) · [**968** citations of these works](https://md.research.elamur.ai/free/en/venues/machine-learning/1986/#works) ## Most cited papers By their OpenAlex citations; a paper with our summary links to its page here, the others to the original. 1. **[Induction of Decision Trees ↗](https://doi.org/10.1007/bf00116251)**J. R. Quinlan*21,170 citations* 2. **[Explanation-Based Generalization: A Unifying View ↗](https://doi.org/10.1023/a:1022691120807)**Tom M. Mitchell, Richard M. Keller, Smadar T. Kedar-Cabelli*1,174 citations* 3. **[Editorial: On Machine Learning ↗](https://doi.org/10.1023/a:1022687019898)**Pat Langley*951 citations* 4. **[Explanation-Based Learning: An Alternative View](https://md.research.elamur.ai/free/en/papers/dejong-1986-explanation-based-learning-alternative-view/)**GERALD F. DEJONG, Raymond J. Mooney*950 citations · our summary* 5. **[Explanation-based generalization: A unifying view ↗](https://doi.org/10.1007/bf00116250)**Tom M. Mitchell, Richard M. Keller, Smadar T. Kedar-Cabelli*711 citations* 6. **[Incremental Learning from Noisy Data ↗](https://doi.org/10.1007/bf00116895)**Jeffrey C. Schlimmer, Richard Granger*653 citations* 7. **[Chunking in Soar: The Anatomy of a General Learning Mechanism ↗](https://doi.org/10.1023/a:1022639103969)**John E. Laird, Paul S. Rosenbloom, Allen Newell*507 citations* 8. **[Chunking in Soar: The anatomy of a general learning mechanism ↗](https://doi.org/10.1007/bf00116249)**John E. Laird, Paul S. Rosenbloom, Allen Newell*287 citations* 9. **[Learning at the Knowledge Level ↗](https://doi.org/10.1007/bf00116894)**Thomas G. Dietterich*221 citations* 10. **[Integrating Quantitative and Qualitative Discovery: The ABACUS System ↗](https://doi.org/10.1023/a:1022866732136)**Brian C. Falkenhainer, Ryszard S. Michalski*179 citations* ## All works of the year (31) The most cited first; 1 with our summary link to their page here, the others to the original. 1. **[Induction of Decision Trees ↗](https://doi.org/10.1007/bf00116251)**J. R. Quinlan*21,170 citations* 2. **[Explanation-Based Generalization: A Unifying View ↗](https://doi.org/10.1023/a:1022691120807)**Tom M. Mitchell, Richard M. Keller, Smadar T. Kedar-Cabelli*1,174 citations* 3. **[Editorial: On Machine Learning ↗](https://doi.org/10.1023/a:1022687019898)**Pat Langley*951 citations* 4. **[Explanation-Based Learning: An Alternative View](https://md.research.elamur.ai/free/en/papers/dejong-1986-explanation-based-learning-alternative-view/)**GERALD F. DEJONG, Raymond J. Mooney*950 citations · our summary* 5. **[Explanation-based generalization: A unifying view ↗](https://doi.org/10.1007/bf00116250)**Tom M. Mitchell, Richard M. Keller, Smadar T. Kedar-Cabelli*711 citations* 6. **[Incremental Learning from Noisy Data ↗](https://doi.org/10.1007/bf00116895)**Jeffrey C. Schlimmer, Richard Granger*653 citations* 7. **[Chunking in Soar: The Anatomy of a General Learning Mechanism ↗](https://doi.org/10.1023/a:1022639103969)**John E. Laird, Paul S. Rosenbloom, Allen Newell*507 citations* 8. **[Chunking in Soar: The anatomy of a general learning mechanism ↗](https://doi.org/10.1007/bf00116249)**John E. Laird, Paul S. Rosenbloom, Allen Newell*287 citations* 9. **[Learning at the Knowledge Level ↗](https://doi.org/10.1007/bf00116894)**Thomas G. Dietterich*221 citations* 10. **[Integrating Quantitative and Qualitative Discovery: The ABACUS System ↗](https://doi.org/10.1023/a:1022866732136)**Brian C. Falkenhainer, Ryszard S. Michalski*179 citations* 11. **[A General Framework for Induction and a Study of Selective Induction ↗](https://doi.org/10.1007/bf00114117)**Larry A. Rendell*138 citations* 12. **[Escaping Brittleness : the Possibilities of General Purpose Learning Algorithms Applied to Parallel Rule-based System ↗](https://ci.nii.ac.jp/naid/10011243318)**John H. Holland*121 citations* 13. **[Determining Arguments of Invariant Functional Descriptions ↗](https://doi.org/10.1007/bf00114869)**Mieczyslaw M. Kokar*87 citations* 14. **[A Theory of Historical Discovery: The Construction of Componential Models ↗](https://doi.org/10.1007/bf00116252)**Jan M. Żytkow, Herbert A. Simon*81 citations* 15. **[Chemical Discovery as Belief Revision ↗](https://doi.org/10.1007/bf00114870)**Donald Rose, Pat Langley*74 citations* 16. **[Integrating quantitative and qualitative discovery: The ABACUS system ↗](https://doi.org/10.1007/bf00114868)**Brian C. Falkenhainer, Ryszard S. Michalski*55 citations* 17. **[Integrating Qualitative and Quantitative Discovery : The ABACUS System ↗](http://ci.nii.ac.jp/naid/10006933420)**Brian C. Falkenhainer*54 citations* 18. **[Experimental Goal Regression: A Method for Learning Problem-Solving Heuristics ↗](https://doi.org/10.1007/bf00116893)**Bruce Porter, Dennis F. Kibler*44 citations* 19. **[Editorial: On machine learning ↗](https://doi.org/10.1007/bf00116248)**Pat Langley*9 citations* 20. **[Editorial: Machine Learning and Discovery ↗](https://doi.org/10.1023/a:1022814715297)**Pat Langley, Ryszard S. Michalski*5 citations* 21. **[News and Notes ↗](https://doi.org/10.1023/a:1022862631227)***4 citations* 22. **[Editorial: The Terminology of Machine Learning ↗](https://doi.org/10.1023/a:1022840627593)**Pat Langley*3 citations* 23. **[Editorial: Machine learning and discovery ↗](https://doi.org/10.1007/bf00114867)**Pat Langley, Ryszard S. Michalski*2 citations* 24. **[Editorial: The terminology of machine learning ↗](https://doi.org/10.1007/bf00114115)**Pat Langley*2 citations* 25. **[Editorial: Human and Machine Learning ↗](https://doi.org/10.1023/a:1022854429410)**Pat Langley*1 citation* [See all 31 papers in Machine Learning 1986 — papers →](https://md.research.elamur.ai/free/en/venues/machine-learning/1986/papers/) ## Works with our summary in our library (1) The most cited first (OpenAlex citations plus our library's). 1. **[Explanation-based learning: An alternative view](https://md.research.elamur.ai/free/en/papers/dejong-1986-explanation-based-learning-alternative-view/) [Machine Learning](https://md.research.elamur.ai/free/en/venues/machine-learning/)**Gerald DeJong, Raymond Mooney*1986 · 968 citations* ## Top topics Topics of its works in our library, with the number of works on each. [Reasoning (1)](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Fields [Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/) ## Top authors Authors with a page who published here most often: their works here, and the citations of those works. [🧑‍🔬**Raymond J. Mooney**1 work here · 968 citations](https://md.research.elamur.ai/free/en/authors/raymond-j-mooney/) ## Top institutions Institutions on the bylines of its works here, by the number of works. [🎓**University of Illinois Urbana-Champaign** Urbana · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) works and citations from OpenAlex and our library. - [next → Machine Learning 1991](https://md.research.elamur.ai/free/en/venues/machine-learning/1991/) - [↑ back to Machine Learning](https://md.research.elamur.ai/free/en/venues/machine-learning/)