Ryszard S. Michalski

Publication Activity (10 Years)

Years Active: 1971-2012
Publications (10 Years): 0

Top Venues

J. Intell. Inf. Syst.

Publications

Ryszard S. Michalski, Janusz Wojtusiak
Reasoning with unknown, not-applicable and irrelevant meta-values in concept learning and pattern discovery. J. Intell. Inf. Syst. 39 (1) (2012)
Janusz Wojtusiak, Ryszard S. Michalski, Thipkesone Simanivanh, Ancha V. Baranova
Towards application of rule learning to the meta-analysis of clinical data: An example of the metabolic syndrome. Int. J. Medical Informatics 78 (12) (2009)
Janusz Wojtusiak, Ryszard S. Michalski, Thipkesone Simanivanh, Anna V. Baranova
The Natural Induction System AQ21 and its Application to Data Describing Patients with Metabolic Syndrome: Initial Results. ICMLA (2007)
Ryszard S. Michalski, Janusz Wojtusiak
Generalizing Data in Natural Language. RSEISP (2007)
Ryszard S. Michalski, Janusz Wojtusiak, Kenneth A. Kaufman
Intelligent Optimization via Learnable Evolution Model. ICTAI (2006)
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) (2006)
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)
Kenneth A. Kaufman, Ryszard S. Michalski, Jaroslaw Pietrzykowski, Janusz Wojtusiak
An Integrated Multi-task Inductive Database VINLEN: Initial Implementation and Early Results. KDID (2006)
Ryszard S. Michalski, Kenneth A. Kaufman, Jaroslaw Pietrzykowski, Bartlomiej Sniezynski, Janusz Wojtusiak
Learning Symbolic User Models for Intrusion Detection: A Method and Initial Results. Intelligent Information Systems (2006)
Janusz Wojtusiak, Ryszard S. Michalski
The Use of Compound Attributes inAQ Learning. Intelligent Information Systems (2006)
Janusz Wojtusiak, Ryszard S. Michalski
The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems. GECCO (2006)
Bartlomiej Sniezynski, Robert Szymacha, Ryszard S. Michalski
Knowledge Visualization Using Optimized General Logic Diagrams. Intelligent Information Systems (2005)
Tomasz Szydlo, Bartlomiej Sniezynski, Ryszard S. Michalski
A Rules-to-Trees Conversion in the Inductive Database System VINLEN. Intelligent Information Systems (2005)
Marcus A. Maloof, Ryszard S. Michalski
Incremental learning with partial instance memory. Artif. Intell. 154 (1-2) (2004)
Ryszard S. Michalski, Pavel Brazdil
Introduction. Mach. Learn. 50 (3) (2003)
Kenneth A. Kaufman, Ryszard S. Michalski
The Development of the Inductive Database System VINLEN: A Review of Current Research. IIS (2003)
Guido Cervone, Ryszard S. Michalski
Modeling User Behavior by Integrating AQ Learning with a Database: Initial Results. Intelligent Information Systems (2002)
Guido Cervone, Kenneth A. Kaufman, Ryszard S. Michalski
Recent Results from the Experimental Evaluation of the Learnable Evolution Model. GECCO Late Breaking Papers (2002)
Marcus A. Maloof, Ryszard S. Michalski
Incremental Learning with Partial Instance Memory. ISMIS (2002)
Guido Cervone, Liviu Panait, Ryszard S. Michalski
The Development of the AQ20 Learning System and Initial Experiments. Intelligent Information Systems (2001)
Ryszard S. Michalski, Kenneth A. Kaufman
Learning Patterns in Noisy Data: The AQ Approach. Machine Learning and Its Applications (2001)
Jerzy Clowinski, Ryszard S. Michalski
Discovering Multi-head Attributional Rules in Large Databases. Intelligent Information Systems (2001)
Marcus A. Maloof, Ryszard S. Michalski
Selecting Examples for Partial Memory Learning. Mach. Learn. 41 (1) (2000)
Ryszard S. Michalski
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning. Mach. Learn. 38 (1-2) (2000)
Ryszard S. Michalski, Kenneth A. Kaufman
Building Knowledge Scouts Using KGL Metalanguage. Fundam. Informaticae 41 (4) (2000)
Ryszard S. Michalski
Learning and Evolution: An Introduction to Non-darwinian Evolutionary Computation. ISMIS (2000)
Floriana Esposito, Ryszard S. Michalski, Lorenza Saitta
Guest Editors' Introduction. Mach. Learn. 38 (1-2) (2000)
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) (2000)
Kenneth A. Kaufman, Ryszard S. Michalski
Applying Learnable Evolution Model to Heat Exchanger Design. AAAI/IAAI (2000)
Kenneth A. Kaufman, Ryszard S. Michalski
A Knowledge Scout for Discovering Medical Patterns: Methodology and System SCAMP. FQAS (2000)
Ryszard S. Michalski, Guido Cervone, Kenneth A. Kaufman
Speeding Up Evolution through Learning: LEM. Intelligent Information Systems (2000)
Guido Cervone, K. K. Kaufman, Ryszard S. Michalski
Experimental validations of the learnable evolution model. CEC (2000)
Ryszard S. Michalski
Inductive Databases and Knowledge Scouts. PAKDD (2000)
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) (1999)
Kenneth A. Kaufman, Ryszard S. Michalski
Learning from Inconsistent and Noisy Data: The AQ18 Approach. ISMIS (1999)
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)
Eric Bloedorn, Ryszard S. Michalski
Data-Driven Constructive Induction. IEEE Intell. Syst. 13 (2) (1998)
Qi Zhang, Zoran Duric, Ryszard S. Michalski
Detecting Targets in SAR Images: A Machine Learning Approach. ACCV (1) (1998)
Ryszard S. Michalski, Janusz Wnek
Guest Editors' Introduction. Mach. Learn. 27 (3) (1997)
Ryszard S. Michalski
Seeking Knowledge in the Deluge of Facts. Fundam. Informaticae 30 (3/4) (1997)
Ryszard S. Michalski, Ibrahim F. Imam
On Learning Decision Structures. Fundam. Informaticae 31 (1) (1997)
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)
Ibrahim F. Imam, Ryszard S. Michalski
Learning for Decision Making: the FRD Approach and a Comparative Study. ISMIS (1996)
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)
Ryszard S. Michalski
Learning and Cognition. WOCFAI (1995)
Marcus A. Maloof, Ryszard S. Michalski
A method for partial-memory incremental learning and its application to computer intrusion detection. ICTAI (1995)
Jianping Zhang, Ryszard S. Michalski
An Integration of Rule Induction and Exemplar-Based Learning for Graded Concepts. Mach. Learn. 21 (3) (1995)
Ryszard S. Michalski, Ibrahim F. Imam
Learning Problem-Oriented Decision Structures from Decision Rule: The AQDT-2 System. ISMIS (1994)
Ibrahim F. Imam, Ryszard S. Michalski
From Facts to Rules to Decisions: An Overview of the FRD-1 System. KDD Workshop (1994)
Janusz Wnek, Ryszard S. Michalski
Hypothesis-Driven Constructive Induction in AQ17-HCI: A Method and Experiments. Mach. Learn. 14 (1) (1994)
Ibrahim F. Imam, Ryszard S. Michalski
Should Decision Trees be Learned from Examples of from Decision Rules? ISMIS (1993)
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) (1993)
Ryszard S. Michalski
Inferential Theory of Learning as a Conceptual Basis for Multistrategy Learning. Mach. Learn. 11 (1993)
Michael R. Hieb, Ryszard S. Michalski
Multitype Inference in Multistratgey Task - Adaptive Learning: Dynamic Interlaced Hierachies. Informatica (Slovenia) 17 (4) (1993)
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) (1992)
Jerzy W. Bala, Ryszard S. Michalski, Janusz Wnek
The Principal Axes Method for Constructive Induction. ML (1992)
Eric Bloedorn, Ryszard S. Michalski
Data-driven constructive induction in AQ17-PRE: A method and experiments. ICTAI (1991)
Gheorghe Tecuci, Ryszard S. Michalski
A Method for Multistrategy Task-Adaptive Learning Based on Plausible Justifications. ML (1991)
Kenneth A. Kaufman, Ryszard S. Michalski, Larry Kerschberg
Knowledge Extraction from Databases: Design Princiles of the INLEN System. ISMIS (1991)
Jerzy W. Bala, Ryszard S. Michalski
Learning textural concepts through multilevel symbolic transformations. ICTAI (1991)
Gheorghe Tecuci, Ryszard S. Michalski
Input Understanding as a Basis for Multistrategy Task-Adaptive Learning. ISMIS (1991)
Ryszard S. Michalski
Theory of Plausible Reasoning - Foundations and Methodology. ISMVL (1990)
Allan M. Collins, Ryszard S. Michalski
The Logic of Plausible Reasoning: A Core Theory. Cogn. Sci. 13 (1) (1989)
Jianping Zhang, Ryszard S. Michalski
A Description of Preference Criterion in Constructive Learning: A Discussion of Basis Issues. ML (1989)
Francesco Bergadano, Stan Matwin, Ryszard S. Michalski, Jianping Zhang
Representing and Acquiring Imprecise and Context-dependent Concepts in Knowledge-Based Systems. ISMIS (1988)
Francesco Bergadano, Stan Matwin, Ryszard S. Michalski, Jianping Zhang
Measuring Quality of Concept Descriptions. EWSL (1988)
Douglas L. Medin, William D. Wattenmaker, Ryszard S. Michalski
Constraints and Preferences in Inductive Learning: An Experimental Study of Human and Machine Performance. Cogn. Sci. 11 (3) (1987)
Ryszard S. Michalski, Patrick H. Winston
Variable Precision Logic. Artif. Intell. 29 (2) (1986)
Ryszard S. Michalski
Emerging principles in machine learning. ISMIS (1986)
Pat Langley, Ryszard S. Michalski
Machine Learning and Discovery. Mach. Learn. 1 (4) (1986)
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)
Robert E. Stepp, Ryszard S. Michalski
Conceptual Clustering of Structured Objects: A Goal-Oriented Approach. Artif. Intell. 28 (1) (1986)
Brian Falkenhainer, Ryszard S. Michalski
Integrating Quantitative and Qualitative Discovery: The ABACUS System. Mach. Learn. 1 (4) (1986)
Thomas G. Dietterich, Ryszard S. Michalski
Discovering Patterns in Sequences of Events. Artif. Intell. 25 (2) (1985)
Ryszard S. Michalski, Arthur B. Baskin
Integrating Multiple Knowledge Representations and Learning Capabilities in an Expert System: The ADVISE System. IJCAI (1983)
Ryszard S. Michalski, Robert E. Stepp
Automated Construction of Classifications: Conceptual Clustering Versus Numerical Taxonomy. IEEE Trans. Pattern Anal. Mach. Intell. 5 (4) (1983)
Ryszard S. Michalski
A Theory and Methodology of Inductive Learning. Artif. Intell. 20 (2) (1983)
Jaime G. Carbonell, Ryszard S. Michalski, Tom M. Mitchell
Machine Learning: A Historical and Methodological Analysis. AI Mag. 4 (3) (1983)
Ryszard S. Michalski, J. H. Davis, V. S. Bisht, James B. Sinclair
PLANT/ds: An Expert Consulting System for the Diagnosis of Soybean Diseases. ECAI (1982)
Ryszard S. Michalski, Robert E. Stepp
An Application of AI Techniques to Structuring Objects into an Optimal Conceptual Hierarchy. IJCAI (1981)
Thomas G. Dietterich, Ryszard S. Michalski
Inductive Learning of Structural Descriptions: Evaluation Criteria and Comparative Review of Selected Methods. Artif. Intell. 16 (3) (1981)
Ryszard S. Michalski
Pattern Recognition as Rule-Guided Inductive Inference. IEEE Trans. Pattern Anal. Mach. Intell. 2 (4) (1980)
Thomas G. Dietterich, Ryszard S. Michalski
Learning and Generalization of Characteristic Descriptions: Evaluation Criteria and Comparative Review of Selected Methods. IJCAI (1979)
Ryszard S. Michalski
A System of Programs for Computer-Aided Induction: A Summary. IJCAI (1977)
James Larson, Ryszard S. Michalski
Inductive inference of VL decision rules. SIGART Newsl. 63 (1977)
Ryszard S. Michalski
. IJCAI (1973)
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)