---
title: "Machine Learning 1995 — all accepted papers — Elamur Research"
description: "All 60 papers of Machine Learning 1995, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/machine-learning/1995/papers/"
---
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# Machine Learning 1995: all accepted papers

60 papers · the most cited first · [← Machine Learning 1995](https://md.research.elamur.ai/free/en/venues/machine-learning/1995/)

1. **[Support-Vector Networks](https://md.research.elamur.ai/free/en/papers/cortes-1995-support-vector-networks/)**Corinna Cortes, Vladimir N. Vapnik*58,873 citations · our summary*
2. **[Learning Bayesian Networks: The Combination of Knowledge and Statistical Data ↗](https://doi.org/10.1023/a:1022623210503)**David E. Heckerman, Dan Geiger, David M. Chickering*3,231 citations*
3. **[Learning Bayesian networks: The combination of knowledge and statistical data ↗](https://doi.org/10.1007/bf00994016)**David E. Heckerman, Dan Geiger, David M. Chickering*2,017 citations*
4. **[Unsupervised Learning of Multiple Motifs in Biopolymers Using Expectation Maximization ↗](https://doi.org/10.1007/bf00993379)**Timothy L. Bailey, Charles Elkan*670 citations*
5. **[Multivariate Decision Trees ↗](https://doi.org/10.1007/bf00994660)**Carla E. Brodley, Paul E. Utgoff*447 citations*
6. **[The Parti-game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-spaces ↗](https://doi.org/10.1023/a:1022656217772)**Andrew Moore, Christopher G. Atkeson*259 citations*
7. **[Sample Compression, Learnability, and the Vapnik-Chervonenkis Dimension ↗](https://doi.org/10.1007/bf00993593)**Sally Floyd, Manfred K. Warmuth*256 citations*
8. **[An Experimental Comparison of the Nearest-Neighbor and Nearest-Hyperrectangle Algorithms ↗](https://doi.org/10.1007/bf00994658)**Dietrich Wettschereck, Thomas G. Dietterich*239 citations*
9. **[Monotonicity Maintenance in Information-Theoretic Machine Learning Algorithms ↗](https://doi.org/10.1007/bf00994659)**Arie Ben‐David*164 citations*
10. **[Automated Refinement of First-Order Horn-Clause Domain Theories ↗](https://doi.org/10.1007/bf01007461)**Bradley L. Richards, Raymond J. Mooney*140 citations*
11. **[Evaluation and Selection of Biases in Machine Learning ↗](https://doi.org/10.1007/bf00993472)**Diana F. Gordon, Marie Ellen Desjardins*140 citations*
12. **[The parti-game algorithm for variable resolution reinforcement learning in multidimensional state-spaces ↗](https://doi.org/10.1007/bf00993591)**Andrew Moore, Christopher G. Atkeson*137 citations*
13. **[Recursive Automatic Bias Selection for Classifier Construction ↗](https://doi.org/10.1007/bf00993475)**Carla E. Brodley*126 citations*
14. **[Technical note: Bias and the quantification of stability ↗](https://doi.org/10.1007/bf00993473)**Peter D. Turney*121 citations*
15. **[Genetic Algorithms, Operators, and DNA Fragment Assembly ↗](https://doi.org/10.1007/bf00993377)**Rebecca J. Parsons, Stephanie Forrest, Christian Burks*110 citations*
16. **[Neural Networks for Full-Scale Protein Sequence Classification: Sequence Encoding with Singular Value Decomposition ↗](https://doi.org/10.1007/bf00993384)**Cathy H. Wu, Michael W. Berry, Sailaja Shivakumar et al.*99 citations*
17. **[Inductive Policy: The Pragmatics of Bias Selection ↗](https://doi.org/10.1007/bf00993474)**Foster John Provost, Bruce G. Buchanan*89 citations*
18. **[ALECSYS and the AutonoMouse: Learning to Control a Real Robot by Distributed Classifier Systems ↗](https://doi.org/10.1007/bf00996270)**Marco Dorigo*72 citations*
19. **[Bounding the Vapnik-Chervonenkis dimension of concept classes parameterized by real numbers ↗](https://doi.org/10.1007/bf00993408)**Paul W. Goldberg, Mark Jerrum*65 citations*
20. **[A Comparison of ID3 and Backpropagation for English Text-To-Speech Mapping ↗](https://doi.org/10.1023/a:1022822623726)**Thomas G. Dietterich, Hermann Hild, Ghulum Bakiri*58 citations*
21. **[Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning ↗](https://doi.org/10.1023/a:1022874607797)**Thomas Dean, Dana Angluin A, Kenneth Basye et al.*52 citations*
22. **[On Polynomial-Time Learnability in the Limit of Strictly Deterministic Automata ↗](https://doi.org/10.1007/bf01007463)**Takashi Yokomori*42 citations*
23. **[Piecemeal learning of an unknown environment ↗](https://doi.org/10.1007/bf00993411)**Margrit Betke, Ronald L. Rivest, Mona Singh*41 citations*
24. **[Declarative Bias for Specific-to-General ILP Systems ↗](https://doi.org/10.1007/bf00993477)**Hilde Adé, Luc De Raedt, Maurice Bruynooghe*39 citations*
25. **[Encouraging Experimental Results on Learning CNF ↗](https://doi.org/10.1007/bf00994661)**Raymond J. Mooney*38 citations*
26. **[On the Learnability of Disjunctive Normal Form Formulas ↗](https://doi.org/10.1007/bf00996269)**Howard Jay Aizenstein, Leonard Pitt*34 citations*
27. **[A comparison of ID3 and backpropagation for English text-to-speech mapping ↗](https://doi.org/10.1007/bf00993821)**Thomas G. Dietterich, Hermann Hild, Ghulum Bakiri*33 citations*
28. **[The Appropriateness of Predicate Invention as Bias Shift Operation in ILP ↗](https://doi.org/10.1007/bf00993476)**Irene Stahl*32 citations*
29. **[Learning Binary Relations Using Weighted Majority Voting ↗](https://doi.org/10.1023/a:1022675327341)**Sally A. Goldman, Manfred K. Warmuth*26 citations*
30. **[Inferring finite automata with stochastic output functions and an application to map learning ↗](https://doi.org/10.1007/bf00993822)**Thomas Dean, Dana Angluin A, Kenneth Basye et al.*25 citations*
31. **[Learning Fallible Deterministic Finite Automata ↗](https://doi.org/10.1007/bf00993409)**Dana Ron, Ronitt Rubinfeld*23 citations*
32. **[Machine Discovery of Protein Motifs ↗](https://doi.org/10.1007/bf00993382)**Darrell Conklin*20 citations*
33. **[Discovering Dependencies via Algorithmic Mutual Information: A Case Study in DNA Sequence Comparisons ↗](https://doi.org/10.1007/bf00993378)**Aleksandar Milosavljević*19 citations*
34. **[Classification Accuracy: Machine Learning vs. Explicit Knowledge Acquisition ↗](https://doi.org/10.1007/bf00993823)**Arie Ben‐David, Janice Mandel*18 citations*
35. **[An Integration of Rule Induction and Exemplar-Based Learning for Graded Concepts ↗](https://doi.org/10.1007/bf00993592)**Jianping Zhang, Ryszard S. Michalski*15 citations*
36. **[Learning binary relations using weighted majority voting ↗](https://doi.org/10.1007/bf00994017)**Sally A. Goldman, Manfred K. Warmuth*15 citations*
37. **[DEXTER: A System that Experiments with Choices of Training Data Using Expert Knowledge in the Domain of DNA Hydration ↗](https://doi.org/10.1007/bf00993380)**Dawn Cohen, Casimir A. Kulikowski, Helen Miriam Berman*14 citations*
38. **[A Branch and Bound Incremental Conceptual Clusterer ↗](https://doi.org/10.1007/bf00993819)**Arthur J. Nevins*13 citations*
39. **[On the Stochastic Complexity of Learning Realizable and Unrealizable Rules ↗](https://doi.org/10.1007/bf00996271)**Ronny Meir, Neri Merhav*13 citations*
40. **[Probably Almost Discriminative Learning ↗](https://doi.org/10.1023/a:1022870506888)**Kenji Yamanishi*12 citations*
41. **[Learning from a population of hypotheses ↗](https://doi.org/10.1007/bf00993412)**Michael J. Kearns, H. Sebastian Seung*8 citations*
42. **[On the complexity of function learning ↗](https://doi.org/10.1007/bf00993410)**Peter L. Auer, Philip M. Long, Wolfgang Maass et al.*8 citations*
43. **[Bounding the Vapnik-Chervonenkis Dimension of Concept Classes Parameterized by Real Numbers ↗](https://doi.org/10.1023/a:1022847329178)**Paul W. Goldberg, Mark Jerrum*7 citations*
44. **[Technical Note: Bias and the Quantification of Stability ↗](https://doi.org/10.1023/a:1022682001417)**Peter D. Turney*7 citations*
45. **[Piecemeal Learning of an Unknown Environment ↗](https://doi.org/10.1023/a:1022803514157)**Margrit Betke, Ronald L. Rivest, Mona Singh*6 citations*
46. **[Probably almost discriminative learning ↗](https://doi.org/10.1007/bf00993820)**Kenji Yamanishi*6 citations*
47. **[Comprehension Grammars Generated from Machine Learning of Natural Languages ↗](https://doi.org/10.1007/bf01007462)**Patrick Suppes, Michael Böttner, Lin Liang*5 citations*
48. **[Use of Adaptive Networks to Define Highly Predictable Protein Secondary–Structure Classes ↗](https://doi.org/10.1007/bf00993381)**Alan S. Lapedes, Evan W. Steeg, Robert M. Farber*3 citations*
49. **[A Reply to Towell's Book Review of Neural Network Perception for Mobile Robot Guidance ↗](https://doi.org/10.1007/bf00993825)**Dean Pomerleau*2 citations*
50. **[Introduction ↗](https://doi.org/10.1023/a:1022661429642)**JUDE W. SHAVLIK, Lawrence Hunter, David B. Searls*2 citations*
51. **[Searching for Representations to Improve Protein Sequence Fold-Class Prediction ↗](https://doi.org/10.1007/bf00993383)**Thomas R. Ioerger, Larry A. Rendell, Shankar Subramaniam*2 citations*
52. **[Shifting Vocabulary Bias in Speedup Learning ↗](https://doi.org/10.1007/bf00993478)**Devika Subramanian*2 citations*
53. **[Introduction ↗](https://doi.org/10.1007/bf00993376)**JUDE W. SHAVLIK, Lawrence Hunter, David B. Searls*1 citation*
54. **[Learning from a Population of Hypotheses ↗](https://doi.org/10.1023/a:1022855530995)**Michael J. Kearns, H. Sebastian Seung*1 citation*
55. **[Book Review: Neural Network Perception For Mobile Robot Guidance by Dean A. Pomerleau. Kluwer Academic Publishers, 1993 ↗](https://doi.org/10.1023/a:1022878708705)**Geoffrey G. Towell
56. **[Guest Editor's Introduction ↗](https://doi.org/10.1023/a:1022882812340)**Sally A. Goldman
57. **[Guest editor's introduction ↗](https://doi.org/10.1007/bf00993407)**Sally A. Goldman
58. **[Libro verde del control y fiscalización ambiental en la cuenca del río Huasco. ↗](http://bibliotecadigital.ciren.cl/handle/123456789/25602)**Serplac Iii Región Atacama, Cooperación Alemana, Chile. Ministerio de Bienes Nacionales
59. **[Neural network perception for mobile robot guidance by Dean A. Pomerleau. Kluwer Academic Publishers, 1993 ↗](https://doi.org/10.1007/bf00993824)**Geoffrey G. Towell
60. **[On the Complexity of Function Learning ↗](https://doi.org/10.1023/a:1022851430087)**Peter L. Auer, Philip M. Long, Wolfgang Maass et al.
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