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Ryszard S. Michalski Vis

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*2007
74EERyszard S. Michalski, Janusz Wojtusiak: Generalizing Data in Natural Language. RSEISP 2007: 29-39
2006
73EEJanusz Wojtusiak, Ryszard S. Michalski: The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems. GECCO 2006: 1281-1288
72EERyszard S. Michalski, Janusz Wojtusiak, Kenneth A. Kaufman: Intelligent Optimization via Learnable Evolution Model. ICTAI 2006: 332-335
71EEJanusz Wojtusiak, Ryszard S. Michalski, Kenneth A. Kaufman, Jaroslaw Pietrzykowski: The AQ21 Natural Induction Program for Pattern Discovery: Initial Version and its Novel Features. ICTAI 2006: 523-526
70EEKenneth A. Kaufman, Ryszard S. Michalski, Jaroslaw Pietrzykowski, Janusz Wojtusiak: An Integrated Multi-task Inductive Database VINLEN: Initial Implementation and Early Results. KDID 2006: 116-133
69EERyszard S. Michalski, Kenneth A. Kaufman: Intelligent evolutionary design: A new approach to optimizing complex engineering systems and its application to designing heat exchangers. Int. J. Intell. Syst. 21(12): 1217-1248 (2006)
2005
68 Bartlomiej Sniezynski, Robert Szymacha, Ryszard S. Michalski: Knowledge Visualization Using Optimized General Logic Diagrams. Intelligent Information Systems 2005: 137-146
67 Tomasz Szydlo, Bartlomiej Sniezynski, Ryszard S. Michalski: A Rules-to-Trees Conversion in the Inductive Database System VINLEN. Intelligent Information Systems 2005: 496-500
2004
66EEMarcus A. Maloof, Ryszard S. Michalski: Incremental learning with partial instance memory. Artif. Intell. 154(1-2): 95-126 (2004)
2003
65 Kenneth A. Kaufman, Ryszard S. Michalski: The Development of the Inductive Database System VINLEN: A Review of Current Research. IIS 2003: 267-276
64 Ryszard S. Michalski, Pavel Brazdil: Introduction. Machine Learning 50(3): 219-222 (2003)
2002
63 Guido Cervone, Kenneth A. Kaufman, Ryszard S. Michalski: Recent Results from the Experimental Evaluation of the Learnable Evolution Model. GECCO Late Breaking Papers 2002: 47-62
62EEMarcus A. Maloof, Ryszard S. Michalski: Incremental Learning with Partial Instance Memory. ISMIS 2002: 16-27
61 Guido Cervone, Ryszard S. Michalski: Modeling User Behavior by Integrating AQ Learning with a Database: Initial Results. Intelligent Information Systems 2002: 43-56
2001
60 Guido Cervone, Liviu Panait, Ryszard S. Michalski: The Development of the AQ20 Learning System and Initial Experiments. Intelligent Information Systems 2001: 13-29
59 Jerzy Clowinski, Ryszard S. Michalski: Discovering Multi-head Attributional Rules in Large Databases. Intelligent Information Systems 2001: 31-41
58EERyszard S. Michalski, Kenneth A. Kaufman: Learning Patterns in Noisy Data: The AQ Approach. Machine Learning and Its Applications 2001: 22-38
2000
57 Kenneth A. Kaufman, Ryszard S. Michalski: Applying Learnable Evolution Model to Heat Exchanger Design. AAAI/IAAI 2000: 1014-1019
56 Kenneth A. Kaufman, Ryszard S. Michalski: A Knowledge Scout for Discovering Medical Patterns: Methodology and System SCAMP. FQAS 2000: 485-496
55EERyszard S. Michalski: Learning and Evolution: An Introduction to Non-darwinian Evolutionary Computation. ISMIS 2000: 21-30
54 Ryszard S. Michalski, Guido Cervone, Kenneth A. Kaufman: Speeding Up Evolution through Learning: LEM. Intelligent Information Systems 2000: 243-256
53 Ryszard S. Michalski: Inductive Databases and Knowledge Scouts. PAKDD 2000: 2-3
52 Ryszard S. Michalski, Kenneth A. Kaufman: Building Knowledge Scouts Using KGL Metalanguage. Fundam. Inform. 41(4): 433-447 (2000)
51 Kenneth A. Kaufman, Ryszard S. Michalski: An Adjustable Description Quality Measure for Pattern Discovery Using the AQ Methodology. J. Intell. Inf. Syst. 14(2-3): 199-216 (2000)
50 Floriana Esposito, Ryszard S. Michalski, Lorenza Saitta: Guest Editors' Introduction. Machine Learning 38(1-2): 5-7 (2000)
49 Ryszard S. Michalski: Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning. Machine Learning 38(1-2): 9-40 (2000)
48 Marcus A. Maloof, Ryszard S. Michalski: Selecting Examples for Partial Memory Learning. Machine Learning 41(1): 27-52 (2000)
1999
47 Mark Coletti, Thomas D. Lash, Ryszard S. Michalski, Craig Mandsager, Rida E. Moustafa: Comparing Performance of the Learnable Evolution Model and Genetic Algorithms. GECCO 1999: 779
46EEKenneth A. Kaufman, Ryszard S. Michalski: Learning from Inconsistent and Noisy Data: The AQ18 Approach. ISMIS 1999: 411-419
45EERyszard S. Michalski, R. L. Chilausky: Knowledge acquisition by encoding expert rules versus computer induction from examples: a case study involving soybean pathology. Int. J. Hum.-Comput. Stud. 51(2): 239-263 (1999)
1998
44 Qi Zhang, Zoran Duric, Ryszard S. Michalski: Detecting Targets in SAR Images: A Machine Learning Approach. ACCV (1) 1998: 305-312
43 Eric Bloedorn, Ryszard S. Michalski: Data-Driven Constructive Induction. IEEE Intelligent Systems 13(2): 30-37 (1998)
1997
42 Ryszard S. Michalski: Seeking Knowledge in the Deluge of Facts. Fundam. Inform. 30(3/4): 283-297 (1997)
41 Ryszard S. Michalski, Ibrahim F. Imam: On Learning Decision Structures. Fundam. Inform. 31(1): 49-64 (1997)
40 Ryszard S. Michalski, Janusz Wnek: Guest Editors' Introduction. Machine Learning 27(3): 205-208 (1997)
1996
39EEEric Bloedorn, Ryszard S. Michalski: The AQ17-DCI System for Data-Driven Constructive Induction and its Application to the Analysis of World Economics. ISMIS 1996: 108-117
38EEIbrahim F. Imam, Ryszard S. Michalski: Learning for Decision Making: the FRD Approach and a Comparative Study. ISMIS 1996: 428-437
37 Kenneth A. Kaufman, Ryszard S. Michalski: A Method for Reasoning with Structured and Continuous Attributes in the INLEN-2 Multistrategy Knowledge Discovery System. KDD 1996: 232-237
1995
36 Ryszard S. Michalski: Learning and Cognition. WOCFAI 1995: 507-510
35 Jianping Zhang, Ryszard S. Michalski: An Integration of Rule Induction and Exemplar-Based Learning for Graded Concepts. Machine Learning 21(3): 235-267 (1995)
1994
34EERyszard S. Michalski, Ibrahim F. Imam: Learning Problem-Oriented Decision Structures from Decision Rule: The AQDT-2 System. ISMIS 1994: 416-426
33 Ibrahim F. Imam, Ryszard S. Michalski: From Facts to Rules to Decisions: An Overview of the FRD-1 System. KDD Workshop 1994: 229-236
32 Janusz Wnek, Ryszard S. Michalski: Hypothesis-Driven Constructive Induction in AQ17-HCI: A Method and Experiments. Machine Learning 14(1): 139-168 (1994)
1993
31EEIbrahim F. Imam, Ryszard S. Michalski: Should Decision Trees be Learned from Examples of from Decision Rules? ISMIS 1993: 395-404
30 Michael R. Hieb, Ryszard S. Michalski: Multitype Inference in Multistratgey Task - Adaptive Learning: Dynamic Interlaced Hierachies. Informatica (Slovenia) 17(4): (1993)
29 Ibrahim F. Imam, Ryszard S. Michalski: Learning Decision Trees from Decision Rules: A Method and Initial Results from a Comparative Study. J. Intell. Inf. Syst. 2(3): 279-304 (1993)
28 Ryszard S. Michalski: Inferential Theory of Learning as a Conceptual Basis for Multistrategy Learning. Machine Learning 11: 111-151 (1993)
1992
27 Jerzy W. Bala, Ryszard S. Michalski, Janusz Wnek: The Principal Axes Method for Constructive Induction. ML 1992: 20-29
26 Ryszard S. Michalski, Larry Kerschberg, Kenneth A. Kaufman, James S. Ribeiro: Mining for Knowledge in Databases: The INLEN Architecture, Initial Implementation and First Results. J. Intell. Inf. Syst. 1(1): 85-113 (1992)
1991
25EEKenneth A. Kaufman, Ryszard S. Michalski, Larry Kerschberg: Knowledge Extraction from Databases: Design Princiles of the INLEN System. ISMIS 1991: 152-161
24EEGheorghe Tecuci, Ryszard S. Michalski: Input Understanding as a Basis for Multistrategy Task-Adaptive Learning. ISMIS 1991: 419-428
23 Gheorghe Tecuci, Ryszard S. Michalski: A Method for Multistrategy Task-Adaptive Learning Based on Plausible Justifications. ML 1991: 549-553
22 Kenneth A. Kaufman, Ryszard S. Michalski, Larry Kerschberg: Mining for Knowledge in Databases: Goals and General Description of the INLEN System. Knowledge Discovery in Databases 1991: 449-464
1990
21 Ryszard S. Michalski: Theory of Plausible Reasoning - Foundations and Methodology. ISMVL 1990: 325
1989
20 Jianping Zhang, Ryszard S. Michalski: A Description of Preference Criterion in Constructive Learning: A Discussion of Basis Issues. ML 1989: 17-19
19 Allan M. Collins, Ryszard S. Michalski: The Logic of Plausible Reasoning: A Core Theory. Cognitive Science 13(1): 1-49 (1989)
1988
18 Francesco Bergadano, Stan Matwin, Ryszard S. Michalski, Jianping Zhang: Measuring Quality of Concept Descriptions. EWSL 1988: 1-14
17 Francesco Bergadano, Stan Matwin, Ryszard S. Michalski, Jianping Zhang: Representing and Acquiring Imprecise and Context-dependent Concepts in Knowledge-Based Systems. ISMIS 1988: 270-280
1987
16 Douglas L. Medin, William D. Wattenmaker, Ryszard S. Michalski: Constraints and Preferences in Inductive Learning: An Experimental Study of Human and Machine Performance. Cognitive Science 11(3): 299-339 (1987)
1986
15 Ryszard S. Michalski, Igor Mozetic, Jiarong Hong, Nada Lavrac: The Multi-Purpose Incremental Learning System AQ15 and Its Testing Application to Three Medical Domains. AAAI 1986: 1041-1047
14 Robert E. Stepp, Ryszard S. Michalski: Conceptual Clustering of Structured Objects: A Goal-Oriented Approach. Artif. Intell. 28(1): 43-69 (1986)
13 Ryszard S. Michalski, Patrick H. Winston: Variable Precision Logic. Artif. Intell. 29(2): 121-146 (1986)
12 Pat Langley, Ryszard S. Michalski: Machine Learning and Discovery. Machine Learning 1(4): 363-366 (1986)
11 Brian Falkenhainer, Ryszard S. Michalski: Integrating Quantitative and Qualitative Discovery: The ABACUS System. Machine Learning 1(4): 367-401 (1986)
1985
10 Thomas G. Dietterich, Ryszard S. Michalski: Discovering Patterns in Sequences of Events. Artif. Intell. 25(2): 187-232 (1985)
1983
9 Ryszard S. Michalski, Arthur B. Baskin: Integrating Multiple Knowledge Representations and Learning Capabilities in an Expert System: The ADVISE System. IJCAI 1983: 256-258
8 Jaime G. Carbonell, Ryszard S. Michalski, Tom M. Mitchell: Machine Learning: A Historical and Methodological Analysis. AI Magazine 4(3): 69-79 (1983)
7 Ryszard S. Michalski: A Theory and Methodology of Inductive Learning. Artif. Intell. 20(2): 111-161 (1983)
1982
6 Ryszard S. Michalski, J. H. Davis, V. S. Bisht, J. B. Sinclair: PLANT/ds: An Expert Consulting System for the Diagnosis of Soybean Diseases. ECAI 1982: 133-138
1981
5 Ryszard S. Michalski, Robert E. Stepp: An Application of AI Techniques to Structuring Objects into an Optimal Conceptual Hierarchy. IJCAI 1981: 460-465
4 Thomas G. Dietterich, Ryszard S. Michalski: Inductive Learning of Structural Descriptions: Evaluation Criteria and Comparative Review of Selected Methods. Artif. Intell. 16(3): 257-294 (1981)
1977
3 Ryszard S. Michalski: A System of Programs for Computer-Aided Induction: A Summary. IJCAI 1977: 319-320
1973
2 Ryszard S. Michalski: Discovering Classification Rules Using variable-Valued Logic System VL_1. IJCAI 1973: 162-172
1971
1 Ryszard S. Michalski, Zenon Kulpa: A System of Programs for the Synthesis of Switching Circuits Using the Method of Disjoint Stars. IFIP Congress (1) 1971: 61-65

Coauthor Index

1Jerzy W. Bala [27]
2Arthur B. Baskin [9]
3Francesco Bergadano [17] [18]
4V. S. Bisht [6]
5Eric Bloedorn [39] [43]
6Pavel Brazdil [64]
7Jaime G. Carbonell [8]
8Guido Cervone [54] [60] [61] [63]
9R. L. Chilausky [45]
10Jerzy Clowinski [59]
11Mark Coletti [47]
12Allan M. Collins [19]
13J. H. Davis [6]
14Thomas G. Dietterich [4] [10]
15Zoran Duric [44]
16Floriana Esposito [50]
17Brian Falkenhainer [11]
18Michael R. Hieb [30]
19Jiarong Hong [15]
20Ibrahim F. Imam [29] [31] [33] [34] [38] [41]
21Kenneth A. Kaufman [22] [25] [26] [37] [46] [51] [52] [54] [56] [57] [58] [63] [65] [69] [70] [71] [72]
22Larry Kerschberg [22] [25] [26]
23Zenon Kulpa [1]
24Pat Langley [12]
25Thomas D. Lash [47]
26Nada Lavrac [15]
27Marcus A. Maloof [48] [62] [66]
28Craig Mandsager [47]
29Stan Matwin [17] [18]
30Douglas L. Medin [16]
31Tom M. Mitchell [8]
32Rida E. Moustafa [47]
33Igor Mozetic [15]
34Liviu Panait [60]
35Jaroslaw Pietrzykowski [70] [71]
36James S. Ribeiro [26]
37Lorenza Saitta [50]
38J. B. Sinclair [6]
39Bartlomiej Sniezynski [67] [68]
40Robert E. Stepp [5] [14]
41Tomasz Szydlo [67]
42Robert Szymacha [68]
43Gheorghe Tecuci [23] [24]
44William D. Wattenmaker [16]
45Patrick Henry Winston (Patrick H. Winston) [13]
46Janusz Wnek [27] [32] [40]
47Janusz Wojtusiak [70] [71] [72] [73] [74]
48Jianping Zhang [17] [18] [20] [35]
49Qi Zhang [44]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)