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Ryszard S. Michalski: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Ryszard S. Michalski
    A Theory and Methodology of Inductive Learning. [Citation Graph (10, 0)][DBLP]
    Artif. Intell., 1983, v:20, n:2, pp:111-161 [Journal]
  2. Ryszard S. Michalski, Larry Kerschberg, Kenneth A. Kaufman, James S. Ribeiro
    Mining for Knowledge in Databases: The INLEN Architecture, Initial Implementation and First Results. [Citation Graph (7, 0)][DBLP]
    J. Intell. Inf. Syst., 1992, v:1, n:1, pp:85-113 [Journal]
  3. Ryszard S. Michalski, Igor Mozetic, Jiarong Hong, Nada Lavrac
    The Multi-Purpose Incremental Learning System AQ15 and Its Testing Application to Three Medical Domains. [Citation Graph (4, 0)][DBLP]
    AAAI, 1986, pp:1041-1047 [Conf]
  4. Thomas G. Dietterich, Ryszard S. Michalski
    Discovering Patterns in Sequences of Events. [Citation Graph (2, 0)][DBLP]
    Artif. Intell., 1985, v:25, n:2, pp:187-232 [Journal]
  5. Robert E. Stepp, Ryszard S. Michalski
    Conceptual Clustering of Structured Objects: A Goal-Oriented Approach. [Citation Graph (2, 0)][DBLP]
    Artif. Intell., 1986, v:28, n:1, pp:43-69 [Journal]
  6. Allan M. Collins, Ryszard S. Michalski
    The Logic of Plausible Reasoning: A Core Theory. [Citation Graph (2, 0)][DBLP]
    Cognitive Science, 1989, v:13, n:1, pp:1-49 [Journal]
  7. Ryszard S. Michalski, Patrick H. Winston
    Variable Precision Logic. [Citation Graph (1, 0)][DBLP]
    Artif. Intell., 1986, v:29, n:2, pp:121-146 [Journal]
  8. Ryszard S. Michalski
    Inferential Theory of Learning as a Conceptual Basis for Multistrategy Learning. [Citation Graph (1, 0)][DBLP]
    Machine Learning, 1993, v:11, n:, pp:111-151 [Journal]
  9. Kenneth A. Kaufman, Ryszard S. Michalski
    Applying Learnable Evolution Model to Heat Exchanger Design. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2000, pp:1014-1019 [Conf]
  10. Ryszard S. Michalski, Kenneth A. Kaufman
    Learning Patterns in Noisy Data: The AQ Approach. [Citation Graph (0, 0)][DBLP]
    Machine Learning and Its Applications, 2001, pp:22-38 [Conf]
  11. Qi Zhang, Zoran Duric, Ryszard S. Michalski
    Detecting Targets in SAR Images: A Machine Learning Approach. [Citation Graph (0, 0)][DBLP]
    ACCV (1), 1998, pp:305-312 [Conf]
  12. Ryszard S. Michalski, J. H. Davis, V. S. Bisht, J. B. Sinclair
    PLANT/ds: An Expert Consulting System for the Diagnosis of Soybean Diseases. [Citation Graph (0, 0)][DBLP]
    ECAI, 1982, pp:133-138 [Conf]
  13. Francesco Bergadano, Stan Matwin, Ryszard S. Michalski, Jianping Zhang
    Measuring Quality of Concept Descriptions. [Citation Graph (0, 0)][DBLP]
    EWSL, 1988, pp:1-14 [Conf]
  14. Kenneth A. Kaufman, Ryszard S. Michalski
    A Knowledge Scout for Discovering Medical Patterns: Methodology and System SCAMP. [Citation Graph (0, 0)][DBLP]
    FQAS, 2000, pp:485-496 [Conf]
  15. Guido Cervone, Kenneth A. Kaufman, Ryszard S. Michalski
    Recent Results from the Experimental Evaluation of the Learnable Evolution Model. [Citation Graph (0, 0)][DBLP]
    GECCO Late Breaking Papers, 2002, pp:47-62 [Conf]
  16. Mark Coletti, Thomas D. Lash, Ryszard S. Michalski, Craig Mandsager, Rida E. Moustafa
    Comparing Performance of the Learnable Evolution Model and Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 1999, pp:779- [Conf]
  17. Janusz Wojtusiak, Ryszard S. Michalski
    The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1281-1288 [Conf]
  18. Jerzy W. Bala, Ryszard S. Michalski, Janusz Wnek
    The Principal Axes Method for Constructive Induction. [Citation Graph (0, 0)][DBLP]
    ML, 1992, pp:20-29 [Conf]
  19. Gheorghe Tecuci, Ryszard S. Michalski
    A Method for Multistrategy Task-Adaptive Learning Based on Plausible Justifications. [Citation Graph (0, 0)][DBLP]
    ML, 1991, pp:549-553 [Conf]
  20. Jianping Zhang, Ryszard S. Michalski
    A Description of Preference Criterion in Constructive Learning: A Discussion of Basis Issues. [Citation Graph (0, 0)][DBLP]
    ML, 1989, pp:17-19 [Conf]
  21. Janusz Wojtusiak, Ryszard S. Michalski, Kenneth A. Kaufman, Jaroslaw Pietrzykowski
    The AQ21 Natural Induction Program for Pattern Discovery: Initial Version and its Novel Features. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2006, pp:523-526 [Conf]
  22. Ryszard S. Michalski, Janusz Wojtusiak, Kenneth A. Kaufman
    Intelligent Optimization via Learnable Evolution Model. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2006, pp:332-335 [Conf]
  23. Ryszard S. Michalski, Zenon Kulpa
    A System of Programs for the Synthesis of Switching Circuits Using the Method of Disjoint Stars. [Citation Graph (0, 0)][DBLP]
    IFIP Congress (1), 1971, pp:61-65 [Conf]
  24. Guido Cervone, Ryszard S. Michalski
    Modeling User Behavior by Integrating AQ Learning with a Database: Initial Results. [Citation Graph (0, 0)][DBLP]
    Intelligent Information Systems, 2002, pp:43-56 [Conf]
  25. Guido Cervone, Liviu Panait, Ryszard S. Michalski
    The Development of the AQ20 Learning System and Initial Experiments. [Citation Graph (0, 0)][DBLP]
    Intelligent Information Systems, 2001, pp:13-29 [Conf]
  26. Jerzy Clowinski, Ryszard S. Michalski
    Discovering Multi-head Attributional Rules in Large Databases. [Citation Graph (0, 0)][DBLP]
    Intelligent Information Systems, 2001, pp:31-41 [Conf]
  27. Kenneth A. Kaufman, Ryszard S. Michalski
    The Development of the Inductive Database System VINLEN: A Review of Current Research. [Citation Graph (0, 0)][DBLP]
    IIS, 2003, pp:267-276 [Conf]
  28. Ryszard S. Michalski, Guido Cervone, Kenneth A. Kaufman
    Speeding Up Evolution through Learning: LEM. [Citation Graph (0, 0)][DBLP]
    Intelligent Information Systems, 2000, pp:243-256 [Conf]
  29. Bartlomiej Sniezynski, Robert Szymacha, Ryszard S. Michalski
    Knowledge Visualization Using Optimized General Logic Diagrams. [Citation Graph (0, 0)][DBLP]
    Intelligent Information Systems, 2005, pp:137-146 [Conf]
  30. Tomasz Szydlo, Bartlomiej Sniezynski, Ryszard S. Michalski
    A Rules-to-Trees Conversion in the Inductive Database System VINLEN. [Citation Graph (0, 0)][DBLP]
    Intelligent Information Systems, 2005, pp:496-500 [Conf]
  31. Ryszard S. Michalski
    Discovering Classification Rules Using variable-Valued Logic System VL_1. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1973, pp:162-172 [Conf]
  32. Ryszard S. Michalski
    A System of Programs for Computer-Aided Induction: A Summary. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1977, pp:319-320 [Conf]
  33. Ryszard S. Michalski, Arthur B. Baskin
    Integrating Multiple Knowledge Representations and Learning Capabilities in an Expert System: The ADVISE System. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1983, pp:256-258 [Conf]
  34. Ryszard S. Michalski, Robert E. Stepp
    An Application of AI Techniques to Structuring Objects into an Optimal Conceptual Hierarchy. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1981, pp:460-465 [Conf]
  35. Eric Bloedorn, Ryszard S. Michalski
    The AQ17-DCI System for Data-Driven Constructive Induction and its Application to the Analysis of World Economics. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1996, pp:108-117 [Conf]
  36. Francesco Bergadano, Stan Matwin, Ryszard S. Michalski, Jianping Zhang
    Representing and Acquiring Imprecise and Context-dependent Concepts in Knowledge-Based Systems. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1988, pp:270-280 [Conf]
  37. Ibrahim F. Imam, Ryszard S. Michalski
    Should Decision Trees be Learned from Examples of from Decision Rules? [Citation Graph (0, 0)][DBLP]
    ISMIS, 1993, pp:395-404 [Conf]
  38. Ibrahim F. Imam, Ryszard S. Michalski
    Learning for Decision Making: the FRD Approach and a Comparative Study. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1996, pp:428-437 [Conf]
  39. Kenneth A. Kaufman, Ryszard S. Michalski
    Learning from Inconsistent and Noisy Data: The AQ18 Approach. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1999, pp:411-419 [Conf]
  40. Kenneth A. Kaufman, Ryszard S. Michalski, Larry Kerschberg
    Knowledge Extraction from Databases: Design Princiles of the INLEN System. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1991, pp:152-161 [Conf]
  41. Ryszard S. Michalski
    Learning and Evolution: An Introduction to Non-darwinian Evolutionary Computation. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2000, pp:21-30 [Conf]
  42. Ryszard S. Michalski, Ibrahim F. Imam
    Learning Problem-Oriented Decision Structures from Decision Rule: The AQDT-2 System. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1994, pp:416-426 [Conf]
  43. Marcus A. Maloof, Ryszard S. Michalski
    Incremental Learning with Partial Instance Memory. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2002, pp:16-27 [Conf]
  44. Gheorghe Tecuci, Ryszard S. Michalski
    Input Understanding as a Basis for Multistrategy Task-Adaptive Learning. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1991, pp:419-428 [Conf]
  45. Ryszard S. Michalski
    Theory of Plausible Reasoning - Foundations and Methodology. [Citation Graph (0, 0)][DBLP]
    ISMVL, 1990, pp:325- [Conf]
  46. Ibrahim F. Imam, Ryszard S. Michalski
    From Facts to Rules to Decisions: An Overview of the FRD-1 System. [Citation Graph (0, 0)][DBLP]
    KDD Workshop, 1994, pp:229-236 [Conf]
  47. Kenneth A. Kaufman, Ryszard S. Michalski
    A Method for Reasoning with Structured and Continuous Attributes in the INLEN-2 Multistrategy Knowledge Discovery System. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:232-237 [Conf]
  48. Ryszard S. Michalski
    Inductive Databases and Knowledge Scouts. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2000, pp:2-3 [Conf]
  49. Ryszard S. Michalski
    Learning and Cognition. [Citation Graph (0, 0)][DBLP]
    WOCFAI, 1995, pp:507-510 [Conf]
  50. Thomas G. Dietterich, Ryszard S. Michalski
    Inductive Learning of Structural Descriptions: Evaluation Criteria and Comparative Review of Selected Methods. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1981, v:16, n:3, pp:257-294 [Journal]
  51. Marcus A. Maloof, Ryszard S. Michalski
    Incremental learning with partial instance memory. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2004, v:154, n:1-2, pp:95-126 [Journal]
  52. Jaime G. Carbonell, Ryszard S. Michalski, Tom M. Mitchell
    Machine Learning: A Historical and Methodological Analysis. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 1983, v:4, n:3, pp:69-79 [Journal]
  53. Douglas L. Medin, William D. Wattenmaker, Ryszard S. Michalski
    Constraints and Preferences in Inductive Learning: An Experimental Study of Human and Machine Performance. [Citation Graph (0, 0)][DBLP]
    Cognitive Science, 1987, v:11, n:3, pp:299-339 [Journal]
  54. Eric Bloedorn, Ryszard S. Michalski
    Data-Driven Constructive Induction. [Citation Graph (0, 0)][DBLP]
    IEEE Intelligent Systems, 1998, v:13, n:2, pp:30-37 [Journal]
  55. Ryszard S. Michalski
    Seeking Knowledge in the Deluge of Facts. [Citation Graph (0, 0)][DBLP]
    Fundam. Inform., 1997, v:30, n:3/4, pp:283-297 [Journal]
  56. Ryszard S. Michalski, Ibrahim F. Imam
    On Learning Decision Structures. [Citation Graph (0, 0)][DBLP]
    Fundam. Inform., 1997, v:31, n:1, pp:49-64 [Journal]
  57. Ryszard S. Michalski, Kenneth A. Kaufman
    Building Knowledge Scouts Using KGL Metalanguage. [Citation Graph (0, 0)][DBLP]
    Fundam. Inform., 2000, v:41, n:4, pp:433-447 [Journal]
  58. Ryszard S. Michalski, Kenneth A. Kaufman
    Intelligent evolutionary design: A new approach to optimizing complex engineering systems and its application to designing heat exchangers. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2006, v:21, n:12, pp:1217-1248 [Journal]
  59. Ryszard S. Michalski, R. L. Chilausky
    Knowledge acquisition by encoding expert rules versus computer induction from examples: a case study involving soybean pathology. [Citation Graph (0, 0)][DBLP]
    Int. J. Hum.-Comput. Stud., 1999, v:51, n:2, pp:239-263 [Journal]
  60. Michael R. Hieb, Ryszard S. Michalski
    Multitype Inference in Multistratgey Task - Adaptive Learning: Dynamic Interlaced Hierachies. [Citation Graph (0, 0)][DBLP]
    Informatica (Slovenia), 1993, v:17, n:4, pp:- [Journal]
  61. Ibrahim F. Imam, Ryszard S. Michalski
    Learning Decision Trees from Decision Rules: A Method and Initial Results from a Comparative Study. [Citation Graph (0, 0)][DBLP]
    J. Intell. Inf. Syst., 1993, v:2, n:3, pp:279-304 [Journal]
  62. Kenneth A. Kaufman, Ryszard S. Michalski
    An Adjustable Description Quality Measure for Pattern Discovery Using the AQ Methodology. [Citation Graph (0, 0)][DBLP]
    J. Intell. Inf. Syst., 2000, v:14, n:2-3, pp:199-216 [Journal]
  63. Floriana Esposito, Ryszard S. Michalski, Lorenza Saitta
    Guest Editors' Introduction. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2000, v:38, n:1-2, pp:5-7 [Journal]
  64. Brian Falkenhainer, Ryszard S. Michalski
    Integrating Quantitative and Qualitative Discovery: The ABACUS System. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1986, v:1, n:4, pp:367-401 [Journal]
  65. Pat Langley, Ryszard S. Michalski
    Machine Learning and Discovery. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1986, v:1, n:4, pp:363-366 [Journal]
  66. Marcus A. Maloof, Ryszard S. Michalski
    Selecting Examples for Partial Memory Learning. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2000, v:41, n:1, pp:27-52 [Journal]
  67. Ryszard S. Michalski
    Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2000, v:38, n:1-2, pp:9-40 [Journal]
  68. Ryszard S. Michalski, Pavel Brazdil
    Introduction. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2003, v:50, n:3, pp:219-222 [Journal]
  69. Ryszard S. Michalski, Janusz Wnek
    Guest Editors' Introduction. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1997, v:27, n:3, pp:205-208 [Journal]
  70. Janusz Wnek, Ryszard S. Michalski
    Hypothesis-Driven Constructive Induction in AQ17-HCI: A Method and Experiments. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1994, v:14, n:1, pp:139-168 [Journal]
  71. Jianping Zhang, Ryszard S. Michalski
    An Integration of Rule Induction and Exemplar-Based Learning for Graded Concepts. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1995, v:21, n:3, pp:235-267 [Journal]
  72. Kenneth A. Kaufman, Ryszard S. Michalski, Jaroslaw Pietrzykowski, Janusz Wojtusiak
    An Integrated Multi-task Inductive Database VINLEN: Initial Implementation and Early Results. [Citation Graph (0, 0)][DBLP]
    KDID, 2006, pp:116-133 [Conf]
  73. Ryszard S. Michalski, Janusz Wojtusiak
    Generalizing Data in Natural Language. [Citation Graph (0, 0)][DBLP]
    RSEISP, 2007, pp:29-39 [Conf]

  74. The Natural Induction System AQ21 and its Application to Data Describing Patients with Metabolic Syndrome: Initial Results. [Citation Graph (, )][DBLP]


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