A System of Programs for the Synthesis of Switching Circuits Using the Method of Disjoint Stars. - Ryszard S. Michalski; Zenon Kulpa (IFIP Congress (1), 1971)

Discovering Classification Rules Using variable-Valued Logic System VL1. - Ryszard S. Michalski (IJCAI, 1973)

A System of Programs for Computer-Aided Induction: A Summary. - Ryszard S. Michalski (IJCAI, 1977)

Inductive inference of VL decision rules. - James Larson; Ryszard S. Michalski (SIGART Newsl., 1977)

Learning and Generalization of Characteristic Descriptions: Evaluation Criteria and Comparative Review of Selected Methods. - Thomas G. Dietterich; Ryszard S. Michalski (IJCAI, 1979)

Pattern Recognition as Rule-Guided Inductive Inference. - Ryszard S. Michalski (IEEE Trans. Pattern Anal. Mach. Intell., 1980)

An Application of AI Techniques to Structuring Objects into an Optimal Conceptual Hierarchy. - Ryszard S. Michalski; Robert E. Stepp (IJCAI, 1981)

Inductive Learning of Structural Descriptions: Evaluation Criteria and Comparative Review of Selected Methods. - Thomas G. Dietterich; Ryszard S. Michalski (Artif. Intell., 1981)

PLANT/ds: An Expert Consulting System for the Diagnosis of Soybean Diseases. - Ryszard S. Michalski; J. H. Davis; V. S. Bisht; James B. Sinclair (ECAI, 1982)

Integrating Multiple Knowledge Representations and Learning Capabilities in an Expert System: The ADVISE System. - Ryszard S. Michalski; Arthur B. Baskin (IJCAI, 1983)

A Theory and Methodology of Inductive Learning. - Ryszard S. Michalski (Artif. Intell., 1983)

Machine Learning: A Historical and Methodological Analysis. - Jaime G. Carbonell; Ryszard S. Michalski; Tom M. Mitchell (AI Mag., 1983)

Automated Construction of Classifications: Conceptual Clustering Versus Numerical Taxonomy. - Ryszard S. Michalski; Robert E. Stepp (IEEE Trans. Pattern Anal. Mach. Intell., 1983)

Machine learning - an artificial intelligence approach. - Ryszard S. Michalski; John R. Anderson (Springer, 1984)

Discovering Patterns in Sequences of Events. - Thomas G. Dietterich; Ryszard S. Michalski (Artif. Intell., 1985)

The Multi-Purpose Incremental Learning System AQ15 and Its Testing Application to Three Medical Domains. - Ryszard S. Michalski; Igor Mozetic; Jiarong Hong; Nada Lavrac (AAAI, 1986)

Emerging principles in machine learning. - Ryszard S. Michalski (ISMIS, 1986)

Variable Precision Logic. - Ryszard S. Michalski; Patrick H. Winston (Artif. Intell., 1986)

Conceptual Clustering of Structured Objects: A Goal-Oriented Approach. - Robert E. Stepp; Ryszard S. Michalski (Artif. Intell., 1986)

Integrating Quantitative and Qualitative Discovery: The ABACUS System. - Brian Falkenhainer; Ryszard S. Michalski (Mach. Learn., 1986)

Machine Learning and Discovery. - Pat Langley; Ryszard S. Michalski (Mach. Learn., 1986)

Constraints and Preferences in Inductive Learning: An Experimental Study of Human and Machine Performance. - Douglas L. Medin; William D. Wattenmaker; Ryszard S. Michalski (Cogn. Sci., 1987)

Measuring Quality of Concept Descriptions. - Francesco Bergadano; Stan Matwin; Ryszard S. Michalski; Jianping Zhang (EWSL, 1988)

Representing and Acquiring Imprecise and Context-dependent Concepts in Knowledge-Based Systems. - Francesco Bergadano; Stan Matwin; Ryszard S. Michalski; Jianping Zhang (ISMIS, 1988)

Soybean (Large). - Ryszard S. Michalski; R. L. Chilausky (UCI Machine Learning Repository, 1988)

A Description of Preference Criterion in Constructive Learning: A Discussion of Basis Issues. - Jianping Zhang; Ryszard S. Michalski (ML, 1989)

The Logic of Plausible Reasoning: A Core Theory. - Allan M. Collins; Ryszard S. Michalski (Cogn. Sci., 1989)

Theory of Plausible Reasoning - Foundations and Methodology. - Ryszard S. Michalski (ISMVL, 1990)

Mining for Knowledge in Databases: Goals and General Description of the INLEN System. - Kenneth A. Kaufman; Ryszard S. Michalski; Larry Kerschberg (Knowledge Discovery in Databases, 1991)

A Method for Multistrategy Task-Adaptive Learning Based on Plausible Justifications. - Gheorghe Tecuci; Ryszard S. Michalski (ML, 1991)

Learning textural concepts through multilevel symbolic transformations. - Jerzy W. Bala; Ryszard S. Michalski (ICTAI, 1991)

Data-driven constructive induction in AQ17-PRE: A method and experiments. - Eric Bloedorn; Ryszard S. Michalski (ICTAI, 1991)

Knowledge Extraction from Databases: Design Princiles of the INLEN System. - Kenneth A. Kaufman; Ryszard S. Michalski; Larry Kerschberg (ISMIS, 1991)

Input Understanding as a Basis for Multistrategy Task-Adaptive Learning. - Gheorghe Tecuci; Ryszard S. Michalski (ISMIS, 1991)

The Principal Axes Method for Constructive Induction. - Jerzy W. Bala; Ryszard S. Michalski; Janusz Wnek (ML, 1992)

Mining for Knowledge in Databases: The INLEN Architecture, Initial Implementation and First Results. - Ryszard S. Michalski; Larry Kerschberg; Kenneth A. Kaufman; James S. Ribeiro (J. Intell. Inf. Syst., 1992)

Should Decision Trees be Learned from Examples of from Decision Rules? - Ibrahim F. Imam; Ryszard S. Michalski (ISMIS, 1993)

Multitype Inference in Multistratgey Task - Adaptive Learning: Dynamic Interlaced Hierachies. - Michael R. Hieb; Ryszard S. Michalski (Informatica (Slovenia), 1993)

Learning Decision Trees from Decision Rules: A Method and Initial Results from a Comparative Study. - Ibrahim F. Imam; Ryszard S. Michalski (J. Intell. Inf. Syst., 1993)

Inferential Theory of Learning as a Conceptual Basis for Multistrategy Learning. - Ryszard S. Michalski (Mach. Learn., 1993)

Learning Problem-Oriented Decision Structures from Decision Rule: The AQDT-2 System. - Ryszard S. Michalski; Ibrahim F. Imam (ISMIS, 1994)

From Facts to Rules to Decisions: An Overview of the FRD-1 System. - Ibrahim F. Imam; Ryszard S. Michalski (KDD Workshop, 1994)

Hypothesis-Driven Constructive Induction in AQ17-HCI: A Method and Experiments. - Janusz Wnek; Ryszard S. Michalski (Mach. Learn., 1994)

Trains. - Ryszard S. Michalski; Robert E. Stepp (UCI Machine Learning Repository, 1994)

A method for partial-memory incremental learning and its application to computer intrusion detection. - Marcus A. Maloof; Ryszard S. Michalski (ICTAI, 1995)

Learning and Cognition. - Ryszard S. Michalski (WOCFAI, 1995)

An Integration of Rule Induction and Exemplar-Based Learning for Graded Concepts. - Jianping Zhang; Ryszard S. Michalski (Mach. Learn., 1995)

The AQ17-DCI System for Data-Driven Constructive Induction and its Application to the Analysis of World Economics. - Eric Bloedorn; Ryszard S. Michalski (ISMIS, 1996)

Learning for Decision Making: the FRD Approach and a Comparative Study. - Ibrahim F. Imam; Ryszard S. Michalski (ISMIS, 1996)

A Method for Reasoning with Structured and Continuous Attributes in the INLEN-2 Multistrategy Knowledge Discovery System. - Kenneth A. Kaufman; Ryszard S. Michalski (KDD, 1996)

Seeking Knowledge in the Deluge of Facts. - Ryszard S. Michalski (Fundam. Informaticae, 1997)

On Learning Decision Structures. - Ryszard S. Michalski; Ibrahim F. Imam (Fundam. Informaticae, 1997)

Guest Editors' Introduction. - Ryszard S. Michalski; Janusz Wnek (Mach. Learn., 1997)

Detecting Targets in SAR Images: A Machine Learning Approach. - Qi Zhang; Zoran Duric; Ryszard S. Michalski (ACCV (1), 1998)

Data-Driven Constructive Induction. - Eric Bloedorn; Ryszard S. Michalski (IEEE Intell. Syst., 1998)

Comparing Performance of the Learnable Evolution Model and Genetic Algorithms. - Mark Coletti; Thomas D. Lash; Ryszard S. Michalski; Craig Mandsager; Rida E. Moustafa (GECCO, 1999)

Learning from Inconsistent and Noisy Data: The AQ18 Approach. - Kenneth A. Kaufman; Ryszard S. Michalski (ISMIS, 1999)

Knowledge acquisition by encoding expert rules versus computer induction from examples: a case study involving soybean pathology. - Ryszard S. Michalski; R. L. Chilausky (Int. J. Hum. Comput. Stud., 1999)

Applying Learnable Evolution Model to Heat Exchanger Design. - Kenneth A. Kaufman; Ryszard S. Michalski (AAAI/IAAI, 2000)

Experimental validations of the learnable evolution model. - Guido Cervone; K. K. Kaufman; Ryszard S. Michalski (CEC, 2000)

A Knowledge Scout for Discovering Medical Patterns: Methodology and System SCAMP. - Kenneth A. Kaufman; Ryszard S. Michalski (FQAS, 2000)

Speeding Up Evolution through Learning: LEM. - Ryszard S. Michalski; Guido Cervone; Kenneth A. Kaufman (Intelligent Information Systems, 2000)

Learning and Evolution: An Introduction to Non-darwinian Evolutionary Computation. - Ryszard S. Michalski (ISMIS, 2000)

Inductive Databases and Knowledge Scouts. - Ryszard S. Michalski (PAKDD, 2000)

Building Knowledge Scouts Using KGL Metalanguage. - Ryszard S. Michalski; Kenneth A. Kaufman (Fundam. Informaticae, 2000)

An Adjustable Description Quality Measure for Pattern Discovery Using the AQ Methodology. - Kenneth A. Kaufman; Ryszard S. Michalski (J. Intell. Inf. Syst., 2000)

Guest Editors' Introduction. - Floriana Esposito; Ryszard S. Michalski; Lorenza Saitta (Mach. Learn., 2000)

Selecting Examples for Partial Memory Learning. - Marcus A. Maloof; Ryszard S. Michalski (Mach. Learn., 2000)

Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning. - Ryszard S. Michalski (Mach. Learn., 2000)

Learning Patterns in Noisy Data: The AQ Approach. - Ryszard S. Michalski; Kenneth A. Kaufman (Machine Learning and Its Applications, 2001)

The Development of the AQ20 Learning System and Initial Experiments. - Guido Cervone; Liviu Panait; Ryszard S. Michalski (Intelligent Information Systems, 2001)

Discovering Multi-head Attributional Rules in Large Databases. - Jerzy Clowinski; Ryszard S. Michalski (Intelligent Information Systems, 2001)

Recent Results from the Experimental Evaluation of the Learnable Evolution Model. - Guido Cervone; Kenneth A. Kaufman; Ryszard S. Michalski (GECCO Late Breaking Papers, 2002)

Modeling User Behavior by Integrating AQ Learning with a Database: Initial Results. - Guido Cervone; Ryszard S. Michalski (Intelligent Information Systems, 2002)

The Development of the Inductive Database System VINLEN: A Review of Current Research. - Kenneth A. Kaufman; Ryszard S. Michalski (IIS, 2003)

Introduction. - Ryszard S. Michalski; Pavel Brazdil (Mach. Learn., 2003)

Incremental learning with partial instance memory. - Marcus A. Maloof; Ryszard S. Michalski (Artif. Intell., 2004)

Knowledge Visualization Using Optimized General Logic Diagrams. - Bartlomiej Sniezynski; Robert Szymacha; Ryszard S. Michalski (Intelligent Information Systems, 2005)

A Rules-to-Trees Conversion in the Inductive Database System VINLEN. - Tomasz Szydlo; Bartlomiej Sniezynski; Ryszard S. Michalski (Intelligent Information Systems, 2005)

The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems. - Janusz Wojtusiak; Ryszard S. Michalski (GECCO, 2006)

Intelligent Optimization via Learnable Evolution Model. - Ryszard S. Michalski; Janusz Wojtusiak; Kenneth A. Kaufman (ICTAI, 2006)

The AQ21 Natural Induction Program for Pattern Discovery: Initial Version and its Novel Features. - Janusz Wojtusiak; Ryszard S. Michalski; Kenneth A. Kaufman; Jaroslaw Pietrzykowski (ICTAI, 2006)

Learning Symbolic User Models for Intrusion Detection: A Method and Initial Results. - Ryszard S. Michalski; Kenneth A. Kaufman; Jaroslaw Pietrzykowski; Bartlomiej Sniezynski; Janusz Wojtusiak (Intelligent Information Systems, 2006)

The Use of Compound Attributes inAQ Learning. - Janusz Wojtusiak; Ryszard S. Michalski (Intelligent Information Systems, 2006)

An Integrated Multi-task Inductive Database VINLEN: Initial Implementation and Early Results. - Kenneth A. Kaufman; Ryszard S. Michalski; Jaroslaw Pietrzykowski; Janusz Wojtusiak (KDID, 2006)

Intelligent evolutionary design: A new approach to optimizing complex engineering systems and its application to designing heat exchangers. - Ryszard S. Michalski; Kenneth A. Kaufman (Int. J. Intell. Syst., 2006)

The Natural Induction System AQ21 and its Application to Data Describing Patients with Metabolic Syndrome: Initial Results. - Janusz Wojtusiak; Ryszard S. Michalski; Thipkesone Simanivanh; Anna V. Baranova (ICMLA, 2007)

Generalizing Data in Natural Language. - Ryszard S. Michalski; Janusz Wojtusiak (RSEISP, 2007)

Towards application of rule learning to the meta-analysis of clinical data: An example of the metabolic syndrome. - Janusz Wojtusiak; Ryszard S. Michalski; Thipkesone Simanivanh; Ancha V. Baranova (Int. J. Medical Informatics, 2009)

Reasoning with unknown, not-applicable and irrelevant meta-values in concept learning and pattern discovery. - Ryszard S. Michalski; Janusz Wojtusiak (J. Intell. Inf. Syst., 2012)