Ryszard S. Michalski
and Health Informatics Director of the Center for Discovery Science and Health Informatics George Mason University 
This page has been visited since January 1, 1999
Articles in Mason Gazette:
7/31/07  New Center to Help Investigators Discover New Knowledge in Medical Databases 
3/12/03  University Wins 10th Patent for Machine Learning Invention 
11/19/02  Spotlight on Research: Grants Support Machine Learning and Inference Research 
7/27/00  Michalski Receives Prestigious Science Honor 
His current
research concerns natural induction (learning humanoriented
knowledge), learnable evolution model, knowledge mining (mining humanoriented knowledge from data and prior knowledge),
inductive databases and knowledge scouts (a new approach to minting humanoriented
knowledge from data and prior knowledge), and user modeling (profiling
computer user activities for intrusion and fraud detection).
He authored/coauthored/coedited 16 books/proceedings and over 350 research
publications.
Presentation on "Selected Applications of Natural Induction and Conceptual Clustering," IRS, April 27, 2006.
Invited presentation on "NonDarwinian Evolutionary Computation: Guiding Evolution by Machine Learning," Center for Automated Learning and Discovery, CarnegieMellon University, February 11, 2004.
Invited presentation on "Inferential Theory of Learning and Natural Induction," at the UQAM Summer Institute in Cognitive Sciences, Montreal, June 30thJuly 11th, 2003.
Advanced Seminar on Machine Learning and Inference Advanced Topics in Artificial Intelligence Advanced Topics in Data Mining and Knowledge Discovery Computational Learning and Discovery Computer Inference and Knowledge Acquisition Computer Programming Concept Learning and Natural Induction Data Analysis and Knowledge Discovery Data Bases Data Mining and Knowledge Discovery Data Structures Information Systems Introduction to Artificial Intelligence Knowledgebased Systems Logic Programming Machine Learning Pattern Recognition Principles of Knowledge Mining Principles of Machine Learning and Inference
Learning system for handwritten character recognition (1966) General Logic Diagram for representing discrete functions (1966) Star methodology for solving the general covering problem (1969) A^{q} algorithm (1969) Method for minimizing symmetric logic functions (1969) Variablevalued logic, and systems VL1 and VL2 (1971, 72) Internal disjunction and conjunction (1972) AQVAL (AQ 1) symbolic learning system (1972) Lexicographic Evaluation FunctionalLEF (1973) Inductive generalization rules (1976) INDUCE learning methodology (1977) Constructive induction (1978) Qualitative predictionSPARC (1979) Conceptual clustering (1980) Theory and methodology of inductive learning (1982) Postulate of comprehensibility (1982) Annotated predicate calculus (1982) Variableprecision logicwith Patrick Winston (1984) Multistrategy learning (1984) Qualitative Prediction (1985) Personal learning and inference systemAurora (1986) Twotiered concept representation (1987) Dynamic recognition (1987) Logic of human plausible reasoningwith Alan Collins (19791989) Illian/Emerald: Robots that Learn and Discover, a system presented at the national exhibit "ROBOTS AND BEYOND: Age of Intelligent Machines" that toured major U.S. museums of science (1987/90) Multistrategy data mining/Knowledge segment (1991) Dynamic Interlaced Hierarchies (1991) Datadriven constructive induction (1991) Hypothesisdriven constructive induction (1991) Inferential theory of learning (1991) Knowledge transmutations (1991) Multistrategy taskadaptive learning (1991) Multistrategy constructive induction (1992) Learning trees from rules (1993) Compact decision trees (1993) Significance vector method (1966/1996) Natural induction (1996) Learnable Evolution ModelLEM (1997) Data Inferencing (1998) Inductive databases (1977/99) Knowledge scouts (1999) Adaptive anchoring discretization (2000) Knowledge Mining (2001) Concept Association Graphs (2001) Predictionbased User Models (2002) Attributional Ruletrees (2002) Multistate Template User Models (2003) Method for generating alternative hypotheses (2003) iAQ (1986/2004) Attributional calculus (1998/2004) Method for reasoning with metavalueswith Janusz Wojtusiak (2004) Estimating Rule Coverages from Selector Coverages in Rule Learning (2004) The LEMd methodology for designing very complex systemswith Ken Kaufman (2005) Learning with compound attributeswith Janusz Wojtusiak (2005) Generalizing Data in Natural Languagewith Janusz Wojtusiak (2006)
