---
title: "Machine Learning 1986 — all accepted papers — Elamur Research"
description: "All 31 papers of Machine Learning 1986, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/machine-learning/1986/papers/"
---
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# Machine Learning 1986: all accepted papers

31 papers · the most cited first · [← Machine Learning 1986](https://md.research.elamur.ai/free/en/venues/machine-learning/1986/)

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*
26. **[Editorial: Human and machine learning ↗](https://doi.org/10.1007/bf00116892)**Pat Langley*1 citation*
27. **[News and Notes ↗](https://doi.org/10.1023/a:1022802412572)**Thomas G. Dietterich*1 citation*
28. **[New and notes ↗](https://doi.org/10.1007/bf00114871)**
29. **[News and Notes ↗](https://doi.org/10.1023/a:1022822917115)**
30. **[News and notes ↗](https://doi.org/10.1007/bf00116896)**
31. **[News and notes ↗](https://doi.org/10.1007/bf00114118)**
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