default search action
Ryszard S. Michalski
Person information
- affiliation: George Mason University, Fairfax, VA, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2010 – 2019
- 2012
- [j34]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): 141-166 (2012)
2000 – 2009
- 2009
- [j33]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): 104-111 (2009) - 2007
- [c53]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: 518-523 - [c52]Ryszard S. Michalski, Janusz Wojtusiak:
Generalizing Data in Natural Language. RSEISP 2007: 29-39 - 2006
- [j32]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) - [c51]Janusz Wojtusiak, Ryszard S. Michalski:
The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems. GECCO 2006: 1281-1288 - [c50]Ryszard S. Michalski, Janusz Wojtusiak, Kenneth A. Kaufman:
Intelligent Optimization via Learnable Evolution Model. ICTAI 2006: 332-335 - [c49]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 - [c48]Janusz Wojtusiak, Ryszard S. Michalski:
The Use of Compound Attributes inAQ Learning. Intelligent Information Systems 2006: 189-198 - [c47]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: 273-285 - [c46]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 - 2005
- [c45]Bartlomiej Sniezynski
Knowledge Visualization Using Optimized General Logic Diagrams. Intelligent Information Systems 2005: 137-146 - [c44]Tomasz Szydlo
A Rules-to-Trees Conversion in the Inductive Database System VINLEN. Intelligent Information Systems 2005: 496-500 - 2004
- [j31]Marcus A. Maloof, Ryszard S. Michalski:
Incremental learning with partial instance memory. Artif. Intell. 154(1-2): 95-126 (2004) - 2003
- [j30]Ryszard S. Michalski, Pavel Brazdil
Introduction. Mach. Learn. 50(3): 219-222 (2003) - [c43]Kenneth A. Kaufman, Ryszard S. Michalski:
The Development of the Inductive Database System VINLEN: A Review of Current Research. IIS 2003: 267-276 - 2002
- [c42]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 - [c41]Guido Cervone, Ryszard S. Michalski:
Modeling User Behavior by Integrating AQ Learning with a Database: Initial Results. Intelligent Information Systems 2002: 43-56 - [c40]Marcus A. Maloof, Ryszard S. Michalski:
Incremental Learning with Partial Instance Memory. ISMIS 2002: 16-27 - 2001
- [c39]Ryszard S. Michalski, Kenneth A. Kaufman:
Learning Patterns in Noisy Data: The AQ Approach. Machine Learning and Its Applications 2001: 22-38 - [c38]Guido Cervone, Liviu Panait, Ryszard S. Michalski:
The Development of the AQ20 Learning System and Initial Experiments. Intelligent Information Systems 2001: 13-29 - [c37]Jerzy Clowinski, Ryszard S. Michalski:
Discovering Multi-head Attributional Rules in Large Databases. Intelligent Information Systems 2001: 31-41 - 2000
- [j29]Ryszard S. Michalski, Kenneth A. Kaufman:
Building Knowledge Scouts Using KGL Metalanguage. Fundam. Informaticae 41(4): 433-447 (2000) - [j28]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) - [j27]Floriana Esposito, Ryszard S. Michalski, Lorenza Saitta:
Guest Editors' Introduction. Mach. Learn. 38(1-2): 5-7 (2000) - [j26]Ryszard S. Michalski:
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning. Mach. Learn. 38(1-2): 9-40 (2000) - [j25]Marcus A. Maloof, Ryszard S. Michalski:
Selecting Examples for Partial Memory Learning. Mach. Learn. 41(1): 27-52 (2000) - [c36]Kenneth A. Kaufman, Ryszard S. Michalski:
Applying Learnable Evolution Model to Heat Exchanger Design. AAAI/IAAI 2000: 1014-1019 - [c35]Guido Cervone, K. K. Kaufman, Ryszard S. Michalski:
Experimental validations of the learnable evolution model. CEC 2000: 1064-1071 - [c34]Kenneth A. Kaufman, Ryszard S. Michalski:
A Knowledge Scout for Discovering Medical Patterns: Methodology and System SCAMP. FQAS 2000: 485-496 - [c33]Ryszard S. Michalski, Guido Cervone, Kenneth A. Kaufman:
Speeding Up Evolution through Learning: LEM. Intelligent Information Systems 2000: 243-256 - [c32]Ryszard S. Michalski:
Learning and Evolution: An Introduction to Non-darwinian Evolutionary Computation. ISMIS 2000: 21-30 - [c31]Ryszard S. Michalski:
Inductive Databases and Knowledge Scouts. PAKDD 2000: 2-3
1990 – 1999
- 1999
- [j24]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) - [c30]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 - [c29]Kenneth A. Kaufman, Ryszard S. Michalski:
Learning from Inconsistent and Noisy Data: The AQ18 Approach. ISMIS 1999: 411-419 - 1998
- [j23]Eric Bloedorn, Ryszard S. Michalski:
Data-Driven Constructive Induction. IEEE Intell. Syst. 13(2): 30-37 (1998) - [c28]Qi Zhang, Zoran Duric, Ryszard S. Michalski:
Detecting Targets in SAR Images: A Machine Learning Approach. ACCV (1) 1998: 305-312 - 1997
- [j22]Ryszard S. Michalski:
Seeking Knowledge in the Deluge of Facts. Fundam. Informaticae 30(3/4): 283-297 (1997) - [j21]Ryszard S. Michalski, Ibrahim F. Imam:
On Learning Decision Structures. Fundam. Informaticae 31(1): 49-64 (1997) - [j20]Ryszard S. Michalski, Janusz Wnek:
Guest Editors' Introduction. Mach. Learn. 27(3): 205-208 (1997) - 1996
- [c27]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 - [c26]Ibrahim F. Imam, Ryszard S. Michalski:
Learning for Decision Making: the FRD Approach and a Comparative Study. ISMIS 1996: 428-437 - [c25]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
- [j19]Jianping Zhang, Ryszard S. Michalski:
An Integration of Rule Induction and Exemplar-Based Learning for Graded Concepts. Mach. Learn. 21(3): 235-267 (1995) - [c24]Marcus A. Maloof, Ryszard S. Michalski:
A method for partial-memory incremental learning and its application to computer intrusion detection. ICTAI 1995: 392-397 - [c23]Ryszard S. Michalski:
Learning and Cognition. WOCFAI 1995: 507-510 - 1994
- [j18]Janusz Wnek, Ryszard S. Michalski:
Hypothesis-Driven Constructive Induction in AQ17-HCI: A Method and Experiments. Mach. Learn. 14(1): 139-168 (1994) - [c22]Ryszard S. Michalski, Ibrahim F. Imam:
Learning Problem-Oriented Decision Structures from Decision Rule: The AQDT-2 System. ISMIS 1994: 416-426 - [c21]Ibrahim F. Imam, Ryszard S. Michalski:
From Facts to Rules to Decisions: An Overview of the FRD-1 System. KDD Workshop 1994: 229-236 - [d2]Ryszard S. Michalski, Robert E. Stepp:
Trains. UCI Machine Learning Repository, 1994 - 1993
- [j17]Michael R. Hieb, Ryszard S. Michalski:
Multitype Inference in Multistratgey Task - Adaptive Learning: Dynamic Interlaced Hierachies. Informatica (Slovenia) 17(4) (1993) - [j16]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) - [j15]Ryszard S. Michalski:
Inferential Theory of Learning as a Conceptual Basis for Multistrategy Learning. Mach. Learn. 11: 111-151 (1993) - [c20]Ibrahim F. Imam, Ryszard S. Michalski:
Should Decision Trees be Learned from Examples of from Decision Rules? ISMIS 1993: 395-404 - 1992
- [j14]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) - [c19]Jerzy W. Bala, Ryszard S. Michalski, Janusz Wnek:
The Principal Axes Method for Constructive Induction. ML 1992: 20-29 - 1991
- [c18]Gheorghe Tecuci, Ryszard S. Michalski:
A Method for Multistrategy Task-Adaptive Learning Based on Plausible Justifications. ML 1991: 549-553 - [c17]Eric Bloedorn, Ryszard S. Michalski:
Data-driven constructive induction in AQ17-PRE: A method and experiments. ICTAI 1991: 30-37 - [c16]Jerzy W. Bala, Ryszard S. Michalski:
Learning textural concepts through multilevel symbolic transformations. ICTAI 1991: 100-107 - [c15]Kenneth A. Kaufman, Ryszard S. Michalski, Larry Kerschberg:
Knowledge Extraction from Databases: Design Princiles of the INLEN System. ISMIS 1991: 152-161 - [c14]Gheorghe Tecuci, Ryszard S. Michalski:
Input Understanding as a Basis for Multistrategy Task-Adaptive Learning. ISMIS 1991: 419-428 - [p1]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
- [c13]Ryszard S. Michalski:
Theory of Plausible Reasoning - Foundations and Methodology. ISMVL 1990: 325
1980 – 1989
- 1989
- [j13]Allan M. Collins, Ryszard S. Michalski:
The Logic of Plausible Reasoning: A Core Theory. Cogn. Sci. 13(1): 1-49 (1989) - [c12]Jianping Zhang, Ryszard S. Michalski:
A Description of Preference Criterion in Constructive Learning: A Discussion of Basis Issues. ML 1989: 17-19 - 1988
- [c11]Francesco Bergadano, Stan Matwin, Ryszard S. Michalski, Jianping Zhang:
Measuring Quality of Concept Descriptions. EWSL 1988: 1-14 - [c10]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 - [d1]Ryszard S. Michalski, R. L. Chilausky:
Soybean (Large). UCI Machine Learning Repository, 1988 - 1987
- [j12]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): 299-339 (1987) - 1986
- [j11]Robert E. Stepp, Ryszard S. Michalski:
Conceptual Clustering of Structured Objects: A Goal-Oriented Approach. Artif. Intell. 28(1): 43-69 (1986) - [j10]Ryszard S. Michalski, Patrick H. Winston:
Variable Precision Logic. Artif. Intell. 29(2): 121-146 (1986) - [j9]Pat Langley, Ryszard S. Michalski:
Machine Learning and Discovery. Mach. Learn. 1(4): 363-366 (1986) - [j8]Brian Falkenhainer, Ryszard S. Michalski:
Integrating Quantitative and Qualitative Discovery: The ABACUS System. Mach. Learn. 1(4): 367-401 (1986) - [c9]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 - [c8]Ryszard S. Michalski:
Emerging principles in machine learning. ISMIS 1986: 289 - 1985
- [j7]Thomas G. Dietterich, Ryszard S. Michalski:
Discovering Patterns in Sequences of Events. Artif. Intell. 25(2): 187-232 (1985) - 1984
- [b1]Ryszard S. Michalski, John R. Anderson:
Machine learning - an artificial intelligence approach. Symbolic computation, Springer 1984, ISBN 0387132988, pp. I-XI, 1-572 - 1983
- [j6]Ryszard S. Michalski:
A Theory and Methodology of Inductive Learning. Artif. Intell. 20(2): 111-161 (1983) - [j5]Jaime G. Carbonell, Ryszard S. Michalski, Tom M. Mitchell:
Machine Learning: A Historical and Methodological Analysis. AI Mag. 4(3): 69-79 (1983) - [j4]Ryszard S. Michalski, Robert E. Stepp:
Automated Construction of Classifications: Conceptual Clustering Versus Numerical Taxonomy. IEEE Trans. Pattern Anal. Mach. Intell. 5(4): 396-410 (1983) - [c7]Ryszard S. Michalski, Arthur B. Baskin:
Integrating Multiple Knowledge Representations and Learning Capabilities in an Expert System: The ADVISE System. IJCAI 1983: 256-258 - 1982
- [c6]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: 133-138 - 1981
- [j3]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) - [c5]Ryszard S. Michalski, Robert E. Stepp:
An Application of AI Techniques to Structuring Objects into an Optimal Conceptual Hierarchy. IJCAI 1981: 460-465 - 1980
- [j2]Ryszard S. Michalski:
Pattern Recognition as Rule-Guided Inductive Inference. IEEE Trans. Pattern Anal. Mach. Intell. 2(4): 349-361 (1980)
1970 – 1979
- 1979
- [c4]Thomas G. Dietterich, Ryszard S. Michalski:
Learning and Generalization of Characteristic Descriptions: Evaluation Criteria and Comparative Review of Selected Methods. IJCAI 1979: 223-231 - 1977
- [j1]James Larson, Ryszard S. Michalski:
Inductive inference of VL decision rules. SIGART Newsl. 63: 38-44 (1977) - [c3]Ryszard S. Michalski:
A System of Programs for Computer-Aided Induction: A Summary. IJCAI 1977: 319-320 - 1973
- [c2]Ryszard S. Michalski:
Discovering Classification Rules Using variable-Valued Logic System VL1. IJCAI 1973: 162-172 - 1971
- [c1]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
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-09 00:15 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: