Ryszard S. Michalski

89 papers A* 7A 3B 7C 13Journal 34Unranked 23
YearRankTypeTitle / Venue / Authors
2012 J jnl
Reasoning with unknown, not-applicable and irrelevant meta-values in concept learning and pattern discovery.
J. Intell. Inf. Syst.
Ryszard S. Michalski, Janusz Wojtusiak
2009 J jnl
Towards application of rule learning to the meta-analysis of clinical data: An example of the metabolic syndrome.
Int. J. Medical Informatics
Janusz Wojtusiak, Ryszard S. Michalski, Thipkesone Simanivanh, Ancha V. Baranova
2007 — conf
Generalizing Data in Natural Language.
RSEISP
Ryszard S. Michalski, Janusz Wojtusiak
2007 C conf
The Natural Induction System AQ21 and its Application to Data Describing Patients with Metabolic Syndrome: Initial Results.
ICMLA
Janusz Wojtusiak, Ryszard S. Michalski, Thipkesone Simanivanh, Anna V. Baranova
2006 — conf
An Integrated Multi-task Inductive Database VINLEN: Initial Implementation and Early Results.
KDID
Kenneth A. Kaufman, Ryszard S. Michalski, Jaroslaw Pietrzykowski, Janusz Wojtusiak
2006 B conf
Intelligent Optimization via Learnable Evolution Model.
ICTAI
Ryszard S. Michalski, Janusz Wojtusiak, Kenneth A. Kaufman
2006 J jnl
Intelligent evolutionary design: A new approach to optimizing complex engineering systems and its application to designing heat exchangers.
Int. J. Intell. Syst.
Ryszard S. Michalski, Kenneth A. Kaufman
2006 — conf
Learning Symbolic User Models for Intrusion Detection: A Method and Initial Results.
Intelligent Information Systems
Ryszard S. Michalski, Kenneth A. Kaufman, Jaroslaw Pietrzykowski, Bartlomiej Sniezynski, Janusz Wojtusiak
2006 B conf
The AQ21 Natural Induction Program for Pattern Discovery: Initial Version and its Novel Features.
ICTAI
Janusz Wojtusiak, Ryszard S. Michalski, Kenneth A. Kaufman, Jaroslaw Pietrzykowski
2006 A conf
The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems.
GECCO
Janusz Wojtusiak, Ryszard S. Michalski
2006 — conf
The Use of Compound Attributes inAQ Learning.
Intelligent Information Systems
Janusz Wojtusiak, Ryszard S. Michalski
2005 — conf
A Rules-to-Trees Conversion in the Inductive Database System VINLEN.
Intelligent Information Systems
Tomasz Szydlo, Bartlomiej Sniezynski, Ryszard S. Michalski
2005 — conf
Knowledge Visualization Using Optimized General Logic Diagrams.
Intelligent Information Systems
Bartlomiej Sniezynski, Robert Szymacha, Ryszard S. Michalski
2004 J jnl
Incremental learning with partial instance memory.
Artif. Intell.
Marcus A. Maloof, Ryszard S. Michalski
2003 J jnl
Introduction.
Mach. Learn.
Ryszard S. Michalski, Pavel Brazdil
2003 — conf
The Development of the Inductive Database System VINLEN: A Review of Current Research.
IIS
Kenneth A. Kaufman, Ryszard S. Michalski
2002 C conf
Incremental Learning with Partial Instance Memory.
ISMIS
Marcus A. Maloof, Ryszard S. Michalski
2002 — conf
Modeling User Behavior by Integrating AQ Learning with a Database: Initial Results.
Intelligent Information Systems
Guido Cervone, Ryszard S. Michalski
2002 — conf
Recent Results from the Experimental Evaluation of the Learnable Evolution Model.
GECCO Late Breaking Papers
Guido Cervone, Kenneth A. Kaufman, Ryszard S. Michalski
2001 — conf
Discovering Multi-head Attributional Rules in Large Databases.
Intelligent Information Systems
Jerzy Clowinski, Ryszard S. Michalski
2001 — conf
Learning Patterns in Noisy Data: The AQ Approach.
Machine Learning and Its Applications
Ryszard S. Michalski, Kenneth A. Kaufman
2001 — conf
The Development of the AQ20 Learning System and Initial Experiments.
Intelligent Information Systems
Guido Cervone, Liviu Panait, Ryszard S. Michalski
2000 C conf
A Knowledge Scout for Discovering Medical Patterns: Methodology and System SCAMP.
FQAS
Kenneth A. Kaufman, Ryszard S. Michalski
2000 J jnl
An Adjustable Description Quality Measure for Pattern Discovery Using the AQ Methodology.
J. Intell. Inf. Syst.
Kenneth A. Kaufman, Ryszard S. Michalski
2000 — conf
Applying Learnable Evolution Model to Heat Exchanger Design.
AAAI/IAAI
Kenneth A. Kaufman, Ryszard S. Michalski
2000 J jnl
Building Knowledge Scouts Using KGL Metalanguage.
Fundam. Informaticae
Ryszard S. Michalski, Kenneth A. Kaufman
2000 B conf
Experimental validations of the learnable evolution model.
CEC
Guido Cervone, K. K. Kaufman, Ryszard S. Michalski
2000 J jnl
Guest Editors' Introduction.
Mach. Learn.
Floriana Esposito, Ryszard S. Michalski, Lorenza Saitta
2000 B conf
Inductive Databases and Knowledge Scouts.
PAKDD
Ryszard S. Michalski
2000 J jnl
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning.
Mach. Learn.
Ryszard S. Michalski
2000 C conf
Learning and Evolution: An Introduction to Non-darwinian Evolutionary Computation.
ISMIS
Ryszard S. Michalski
2000 J jnl
Selecting Examples for Partial Memory Learning.
Mach. Learn.
Marcus A. Maloof, Ryszard S. Michalski
2000 — conf
Speeding Up Evolution through Learning: LEM.
Intelligent Information Systems
Ryszard S. Michalski, Guido Cervone, Kenneth A. Kaufman
1999 A conf
Comparing Performance of the Learnable Evolution Model and Genetic Algorithms.
GECCO
Mark Coletti, Thomas D. Lash, Ryszard S. Michalski, Craig Mandsager, Rida E. Moustafa
1999 J jnl
Knowledge acquisition by encoding expert rules versus computer induction from examples: a case study involving soybean pathology.
Int. J. Hum. Comput. Stud.
Ryszard S. Michalski, R. L. Chilausky
1999 C conf
Learning from Inconsistent and Noisy Data: The AQ18 Approach.
ISMIS
Kenneth A. Kaufman, Ryszard S. Michalski
1998 J jnl
Data-Driven Constructive Induction.
IEEE Intell. Syst.
Eric Bloedorn, Ryszard S. Michalski
1998 — conf
Detecting Targets in SAR Images: A Machine Learning Approach.
ACCV (1)
Qi Zhang, Zoran Duric, Ryszard S. Michalski
1997 J jnl
Guest Editors' Introduction.
Mach. Learn.
Ryszard S. Michalski, Janusz Wnek
1997 J jnl
On Learning Decision Structures.
Fundam. Informaticae
Ryszard S. Michalski, Ibrahim F. Imam
1997 J jnl
Seeking Knowledge in the Deluge of Facts.
Fundam. Informaticae
Ryszard S. Michalski
1996 A* conf
A Method for Reasoning with Structured and Continuous Attributes in the INLEN-2 Multistrategy Knowledge Discovery System.
KDD
Kenneth A. Kaufman, Ryszard S. Michalski
1996 C conf
Learning for Decision Making: the FRD Approach and a Comparative Study.
ISMIS
Ibrahim F. Imam, Ryszard S. Michalski
1996 C conf
The AQ17-DCI System for Data-Driven Constructive Induction and its Application to the Analysis of World Economics.
ISMIS
Eric Bloedorn, Ryszard S. Michalski
1995 B conf
A method for partial-memory incremental learning and its application to computer intrusion detection.
ICTAI
Marcus A. Maloof, Ryszard S. Michalski
1995 J jnl
An Integration of Rule Induction and Exemplar-Based Learning for Graded Concepts.
Mach. Learn.
Jianping Zhang, Ryszard S. Michalski
1995 — conf
Learning and Cognition.
WOCFAI
Ryszard S. Michalski
1994 — conf
From Facts to Rules to Decisions: An Overview of the FRD-1 System.
KDD Workshop
Ibrahim F. Imam, Ryszard S. Michalski
1994 J jnl
Hypothesis-Driven Constructive Induction in AQ17-HCI: A Method and Experiments.
Mach. Learn.
Janusz Wnek, Ryszard S. Michalski
1994 C conf
Learning Problem-Oriented Decision Structures from Decision Rule: The AQDT-2 System.
ISMIS
Ryszard S. Michalski, Ibrahim F. Imam
1993 J jnl
Inferential Theory of Learning as a Conceptual Basis for Multistrategy Learning.
Mach. Learn.
Ryszard S. Michalski
1993 J jnl
Learning Decision Trees from Decision Rules: A Method and Initial Results from a Comparative Study.
J. Intell. Inf. Syst.
Ibrahim F. Imam, Ryszard S. Michalski
1993 J jnl
Multitype Inference in Multistratgey Task - Adaptive Learning: Dynamic Interlaced Hierachies.
Informatica (Slovenia)
Michael R. Hieb, Ryszard S. Michalski
1993 C conf
Should Decision Trees be Learned from Examples of from Decision Rules?
ISMIS
Ibrahim F. Imam, Ryszard S. Michalski
1992 J jnl
Mining for Knowledge in Databases: The INLEN Architecture, Initial Implementation and First Results.
J. Intell. Inf. Syst.
Ryszard S. Michalski, Larry Kerschberg, Kenneth A. Kaufman, James S. Ribeiro
1992 — conf
The Principal Axes Method for Constructive Induction.
ML
Jerzy W. Bala, Ryszard S. Michalski, Janusz Wnek
1991 — conf
A Method for Multistrategy Task-Adaptive Learning Based on Plausible Justifications.
ML
Gheorghe Tecuci, Ryszard S. Michalski
1991 B conf
Data-driven constructive induction in AQ17-PRE: A method and experiments.
ICTAI
Eric Bloedorn, Ryszard S. Michalski
1991 C conf
Input Understanding as a Basis for Multistrategy Task-Adaptive Learning.
ISMIS
Gheorghe Tecuci, Ryszard S. Michalski
1991 C conf
Knowledge Extraction from Databases: Design Princiles of the INLEN System.
ISMIS
Kenneth A. Kaufman, Ryszard S. Michalski, Larry Kerschberg
1991 B conf
Learning textural concepts through multilevel symbolic transformations.
ICTAI
Jerzy W. Bala, Ryszard S. Michalski
1991 — ch.
Mining for Knowledge in Databases: Goals and General Description of the INLEN System.
Knowledge Discovery in Databases
Kenneth A. Kaufman, Ryszard S. Michalski, Larry Kerschberg
1990 — conf
Theory of Plausible Reasoning - Foundations and Methodology.
ISMVL
Ryszard S. Michalski
1989 — conf
A Description of Preference Criterion in Constructive Learning: A Discussion of Basis Issues.
ML
Jianping Zhang, Ryszard S. Michalski
1989 J jnl
The Logic of Plausible Reasoning: A Core Theory.
Cogn. Sci.
Allan M. Collins, Ryszard S. Michalski
1988 — conf
Measuring Quality of Concept Descriptions.
EWSL
Francesco Bergadano, Stan Matwin, Ryszard S. Michalski, Jianping Zhang
1988 C conf
Representing and Acquiring Imprecise and Context-dependent Concepts in Knowledge-Based Systems.
ISMIS
Francesco Bergadano, Stan Matwin, Ryszard S. Michalski, Jianping Zhang
1987 J jnl
Constraints and Preferences in Inductive Learning: An Experimental Study of Human and Machine Performance.
Cogn. Sci.
Douglas L. Medin, William D. Wattenmaker, Ryszard S. Michalski
1986 J jnl
Conceptual Clustering of Structured Objects: A Goal-Oriented Approach.
Artif. Intell.
Robert E. Stepp, Ryszard S. Michalski
1986 C conf
Emerging principles in machine learning.
ISMIS
Ryszard S. Michalski
1986 J jnl
Integrating Quantitative and Qualitative Discovery: The ABACUS System.
Mach. Learn.
Brian Falkenhainer, Ryszard S. Michalski
1986 J jnl
Machine Learning and Discovery.
Mach. Learn.
Pat Langley, Ryszard S. Michalski
1986 A* conf
The Multi-Purpose Incremental Learning System AQ15 and Its Testing Application to Three Medical Domains.
AAAI
Ryszard S. Michalski, Igor Mozetic, Jiarong Hong, Nada Lavrac
1986 J jnl
Variable Precision Logic.
Artif. Intell.
Ryszard S. Michalski, Patrick H. Winston
1985 J jnl
Discovering Patterns in Sequences of Events.
Artif. Intell.
Thomas G. Dietterich, Ryszard S. Michalski
1984 — book
Machine learning - an artificial intelligence approach.
Ryszard S. Michalski, John R. Anderson
1983 J jnl
A Theory and Methodology of Inductive Learning.
Artif. Intell.
Ryszard S. Michalski
1983 J jnl
Automated Construction of Classifications: Conceptual Clustering Versus Numerical Taxonomy.
IEEE Trans. Pattern Anal. Mach. Intell.
Ryszard S. Michalski, Robert E. Stepp
1983 A* conf
Integrating Multiple Knowledge Representations and Learning Capabilities in an Expert System: The ADVISE System.
IJCAI
Ryszard S. Michalski, Arthur B. Baskin
1983 J jnl
Machine Learning: A Historical and Methodological Analysis.
AI Mag.
Jaime G. Carbonell, Ryszard S. Michalski, Tom M. Mitchell
1982 A conf
PLANT/ds: An Expert Consulting System for the Diagnosis of Soybean Diseases.
ECAI
Ryszard S. Michalski, J. H. Davis, V. S. Bisht, James B. Sinclair
1981 A* conf
An Application of AI Techniques to Structuring Objects into an Optimal Conceptual Hierarchy.
IJCAI
Ryszard S. Michalski, Robert E. Stepp
1981 J jnl
Inductive Learning of Structural Descriptions: Evaluation Criteria and Comparative Review of Selected Methods.
Artif. Intell.
Thomas G. Dietterich, Ryszard S. Michalski
1980 J jnl
Pattern Recognition as Rule-Guided Inductive Inference.
IEEE Trans. Pattern Anal. Mach. Intell.
Ryszard S. Michalski
1979 A* conf
Learning and Generalization of Characteristic Descriptions: Evaluation Criteria and Comparative Review of Selected Methods.
IJCAI
Thomas G. Dietterich, Ryszard S. Michalski
1977 A* conf
A System of Programs for Computer-Aided Induction: A Summary.
IJCAI
Ryszard S. Michalski
1977 J jnl
Inductive inference of VL decision rules.
SIGART Newsl.
James Larson, Ryszard S. Michalski
1973 A* conf
Discovering Classification Rules Using variable-Valued Logic System VL
IJCAI
Ryszard S. Michalski
1971 — conf
A System of Programs for the Synthesis of Switching Circuits Using the Method of Disjoint Stars.
IFIP Congress (1)
Ryszard S. Michalski, Zenon Kulpa