The SCEAS System
Navigation Menu
Introduction
Collection Based
Clustering
Ranking
Paper Based
Journals
Conferences
DB Status
Statistics
Search

Search the dblp DataBase

Title:
Author:
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]


Search in 0.005secs, Finished in 0.460secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
Introduction Collection Based Clustering Ranking Paper Based Journals Conferences DB Status Statistics Search
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002