Ryszard S. Michalski

According to our database1, Ryszard S. Michalski authored at least 86 papers between 1971 and 2012.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2012
Reasoning with unknown, not-applicable and irrelevant meta-values in concept learning and pattern discovery.
J. Intell. Inf. Syst., 2012

2009
Towards application of rule learning to the meta-analysis of clinical data: An example of the metabolic syndrome.
Int. J. Medical Informatics, 2009

2007
Generalizing Data in Natural Language.
Proceedings of the Rough Sets and Intelligent Systems Paradigms, International Conference, 2007

The Natural Induction System AQ21 and its Application to Data Describing Patients with Metabolic Syndrome: Initial Results.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

2006
Intelligent evolutionary design: A new approach to optimizing complex engineering systems and its application to designing heat exchangers.
Int. J. Intell. Syst., 2006

An Integrated Multi-task Inductive Database VINLEN: Initial Implementation and Early Results.
Proceedings of the Knowledge Discovery in Inductive Databases, 5th International Workshop, 2006

The Use of Compound Attributes inAQ Learning.
Proceedings of the Intelligent Information Processing and Web Mining, 2006

Learning Symbolic User Models for Intrusion Detection: A Method and Initial Results.
Proceedings of the Intelligent Information Processing and Web Mining, 2006

The AQ21 Natural Induction Program for Pattern Discovery: Initial Version and its Novel Features.
Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006

Intelligent Optimization via Learnable Evolution Model.
Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006

The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

2005
A Rules-to-Trees Conversion in the Inductive Database System VINLEN.
Proceedings of the Intelligent Information Processing and Web Mining, 2005

Knowledge Visualization Using Optimized General Logic Diagrams.
Proceedings of the Intelligent Information Processing and Web Mining, 2005

2004
Incremental learning with partial instance memory.
Artif. Intell., 2004

2003
Introduction.
Mach. Learn., 2003

The Development of the Inductive Database System VINLEN: A Review of Current Research.
Proceedings of the Intelligent Information Processing and Web Mining, 2003

2002
Modeling User Behavior by Integrating AQ Learning with a Database: Initial Results.
Proceedings of the Intelligent Information Systems 2002, 2002

Recent Results from the Experimental Evaluation of the Learnable Evolution Model.
Proceedings of the Late Breaking papers at the Genetic and Evolutionary Computation Conference (GECCO-2002), 2002

2001
Discovering Multi-head Attributional Rules in Large Databases.
Proceedings of the Intelligent Information Systems 2001, 2001

The Development of the AQ20 Learning System and Initial Experiments.
Proceedings of the Intelligent Information Systems 2001, 2001

Learning Patterns in Noisy Data: The AQ Approach.
Proceedings of the Machine Learning and Its Applications, Advanced Lectures, 2001

2000
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning.
Mach. Learn., 2000

Selecting Examples for Partial Memory Learning.
Mach. Learn., 2000

Guest Editors' Introduction.
Mach. Learn., 2000

An Adjustable Description Quality Measure for Pattern Discovery Using the AQ Methodology.
J. Intell. Inf. Syst., 2000

Building Knowledge Scouts Using KGL Metalanguage.
Fundam. Informaticae, 2000

Inductive Databases and Knowledge Scouts.
Proceedings of the Knowledge Discovery and Data Mining, 2000

Learning and Evolution: An Introduction to Non-darwinian Evolutionary Computation.
Proceedings of the Foundations of Intelligent Systems, 12th International Symposium, 2000

Speeding Up Evolution through Learning: LEM.
Proceedings of the Intelligent Information Systems, 2000

A Knowledge Scout for Discovering Medical Patterns: Methodology and System SCAMP.
Proceedings of the Flexible Query Answering Systems, 2000

Applying Learnable Evolution Model to Heat Exchanger Design.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999
Knowledge acquisition by encoding expert rules versus computer induction from examples: a case study involving soybean pathology.
Int. J. Hum. Comput. Stud., 1999

Learning from Inconsistent and Noisy Data: The AQ18 Approach.
Proceedings of the Foundations of Intelligent Systems, 11th International Symposium, 1999

Comparing Performance of the Learnable Evolution Model and Genetic Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999

1998
Data-Driven Constructive Induction.
IEEE Intell. Syst., 1998

Detecting Targets in SAR Images: A Machine Learning Approach.
Proceedings of the Computer Vision, 1998

1997
Guest Editors' Introduction.
Mach. Learn., 1997

On Learning Decision Structures.
Fundam. Informaticae, 1997

Seeking Knowledge in the Deluge of Facts.
Fundam. Informaticae, 1997

1996
A Method for Reasoning with Structured and Continuous Attributes in the INLEN-2 Multistrategy Knowledge Discovery System.
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

Learning for Decision Making: the FRD Approach and a Comparative Study.
Proceedings of the Foundations of Intelligent Systems, 9th International Symposium, 1996

The AQ17-DCI System for Data-Driven Constructive Induction and its Application to the Analysis of World Economics.
Proceedings of the Foundations of Intelligent Systems, 9th International Symposium, 1996

1995
An Integration of Rule Induction and Exemplar-Based Learning for Graded Concepts.
Mach. Learn., 1995

Learning and Cognition.
Proceedings of the Second World Conference on the Fundamentals of Artificial Intelligence, 1995

A method for partial-memory incremental learning and its application to computer intrusion detection.
Proceedings of the Seventh International Conference on Tools with Artificial Intelligence, 1995

1994
Hypothesis-Driven Constructive Induction in AQ17-HCI: A Method and Experiments.
Mach. Learn., 1994

From Facts to Rules to Decisions: An Overview of the FRD-1 System.
Proceedings of the Knowledge Discovery in Databases: Papers from the 1994 AAAI Workshop, 1994

Learning Problem-Oriented Decision Structures from Decision Rule: The AQDT-2 System.
Proceedings of the Methodologies for Intelligent Systems, 8th International Symposium, 1994

1993
Inferential Theory of Learning as a Conceptual Basis for Multistrategy Learning.
Mach. Learn., 1993

Learning Decision Trees from Decision Rules: A Method and Initial Results from a Comparative Study.
J. Intell. Inf. Syst., 1993

Multitype Inference in Multistratgey Task - Adaptive Learning: Dynamic Interlaced Hierachies.
Informatica (Slovenia), 1993

Should Decision Trees be Learned from Examples of from Decision Rules?
Proceedings of the Methodologies for Intelligent Systems, 7th International Symposium, 1993

1992
Mining for Knowledge in Databases: The INLEN Architecture, Initial Implementation and First Results.
J. Intell. Inf. Syst., 1992

The Principal Axes Method for Constructive Induction.
Proceedings of the Ninth International Workshop on Machine Learning (ML 1992), 1992

1991
Input Understanding as a Basis for Multistrategy Task-Adaptive Learning.
Proceedings of the Methodologies for Intelligent Systems, 6th International Symposium, 1991

Knowledge Extraction from Databases: Design Princiles of the INLEN System.
Proceedings of the Methodologies for Intelligent Systems, 6th International Symposium, 1991

Data-driven constructive induction in AQ17-PRE: A method and experiments.
Proceedings of the Third International Conference on Tools for Artificial Intelligence, 1991

Learning textural concepts through multilevel symbolic transformations.
Proceedings of the Third International Conference on Tools for Artificial Intelligence, 1991

A Method for Multistrategy Task-Adaptive Learning Based on Plausible Justifications.
Proceedings of the Eighth International Workshop (ML91), 1991

Mining for Knowledge in Databases: Goals and General Description of the INLEN System.
Proceedings of the Knowledge Discovery in Databases, 1991

1990
Theory of Plausible Reasoning - Foundations and Methodology.
Proceedings of the 20th International Symposium on Multiple-Valued Logic, 1990

1989
The Logic of Plausible Reasoning: A Core Theory.
Cogn. Sci., 1989

A Description of Preference Criterion in Constructive Learning: A Discussion of Basis Issues.
Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

1988
Representing and Acquiring Imprecise and Context-dependent Concepts in Knowledge-Based Systems.
Proceedings of the Methodologies for Intelligent Systems, 1988

Measuring Quality of Concept Descriptions.
Proceedings of the Third European Working Session on Learning, 1988

1987
Constraints and Preferences in Inductive Learning: An Experimental Study of Human and Machine Performance.
Cogn. Sci., 1987

1986
Machine Learning and Discovery.
Mach. Learn., 1986

Integrating Quantitative and Qualitative Discovery: The ABACUS System.
Mach. Learn., 1986

Conceptual Clustering of Structured Objects: A Goal-Oriented Approach.
Artif. Intell., 1986

Variable Precision Logic.
Artif. Intell., 1986

The Multi-Purpose Incremental Learning System AQ15 and Its Testing Application to Three Medical Domains.
Proceedings of the 5th National Conference on Artificial Intelligence. Philadelphia, 1986

1985
Discovering Patterns in Sequences of Events.
Artif. Intell., 1985

1984
Machine learning - an artificial intelligence approach.
Symbolic computation, Springer, ISBN: 0387132988, 1984

1983
Automated Construction of Classifications: Conceptual Clustering Versus Numerical Taxonomy.
IEEE Trans. Pattern Anal. Mach. Intell., 1983

Machine Learning: A Historical and Methodological Analysis.
AI Mag., 1983

A Theory and Methodology of Inductive Learning.
Artif. Intell., 1983

Integrating Multiple Knowledge Representations and Learning Capabilities in an Expert System: The ADVISE System.
Proceedings of the 8th International Joint Conference on Artificial Intelligence. Karlsruhe, 1983

1982
PLANT/ds: An Expert Consulting System for the Diagnosis of Soybean Diseases.
Proceedings of the 5th European Conference on Artificial Intelligence, 1982

1981
Inductive Learning of Structural Descriptions: Evaluation Criteria and Comparative Review of Selected Methods.
Artif. Intell., 1981

An Application of AI Techniques to Structuring Objects into an Optimal Conceptual Hierarchy.
Proceedings of the 7th International Joint Conference on Artificial Intelligence, 1981

1980
Pattern Recognition as Rule-Guided Inductive Inference.
IEEE Trans. Pattern Anal. Mach. Intell., 1980

1979
Learning and Generalization of Characteristic Descriptions: Evaluation Criteria and Comparative Review of Selected Methods.
Proceedings of the Sixth International Joint Conference on Artificial Intelligence, 1979

1977
Inductive inference of VL decision rules.
SIGART Newsl., 1977

A System of Programs for Computer-Aided Induction: A Summary.
Proceedings of the 5th International Joint Conference on Artificial Intelligence. Cambridge, 1977

1973
Discovering Classification Rules Using variable-Valued Logic System VL<sub>1</sub>.
Proceedings of the 3rd International Joint Conference on Artificial Intelligence. Standford, 1973

1971
A System of Programs for the Synthesis of Switching Circuits Using the Method of Disjoint Stars.
Proceedings of the Information Processing, Proceedings of IFIP Congress 1971, Volume 1, 1971


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