| 2007 |
|---|
| 74 | EE | Ryszard S. Michalski,
Janusz Wojtusiak:
Generalizing Data in Natural Language.
RSEISP 2007: 29-39 |
| 2006 |
|---|
| 73 | EE | Janusz Wojtusiak,
Ryszard S. Michalski:
The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems.
GECCO 2006: 1281-1288 |
| 72 | EE | Ryszard S. Michalski,
Janusz Wojtusiak,
Kenneth A. Kaufman:
Intelligent Optimization via Learnable Evolution Model.
ICTAI 2006: 332-335 |
| 71 | EE | Janusz 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 |
| 70 | EE | Kenneth 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 |
| 69 | EE | Ryszard 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 |
|---|
| 66 | EE | Marcus 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 |
| 62 | EE | Marcus 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 |
| 58 | EE | Ryszard 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 |
| 55 | EE | Ryszard 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 |
| 46 | | Kenneth A. Kaufman,
Ryszard S. Michalski:
Learning from Inconsistent and Noisy Data: The AQ18 Approach.
ISMIS 1999: 411-419 |
| 45 | EE | Ryszard 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 |
|---|
| 39 | | Eric 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 |
| 38 | | Ibrahim 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 |
|---|
| 34 | | Ryszard 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 |
|---|
| 31 | | Ibrahim 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 |
|---|
| 25 | | Kenneth A. Kaufman,
Ryszard S. Michalski,
Larry Kerschberg:
Knowledge Extraction from Databases: Design Princiles of the INLEN System.
ISMIS 1991: 152-161 |
| 24 | | Gheorghe 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 |
