ACKNOWLEDGMENTS

We thank for supporting the Machine Learning and Inference Laboratory in part by the National Science Foundation under Grants No. IIS-9906858 and IIS-0097476, IRI-9510644, CDA-9309725, IRI-9020266 and DMI-9496192; the UMBC/LUCITE #32 grant; the Defense Advanced Research Projects Agency under Grants No. F49620-95-1-0462 and F49620-92-J-0549 administered by the Air Force Office of Scientific Research; and Grant No. N00014-91-J-1354 administered by the Office of Naval Research; and in part by the Office of Naval Research under Grant No. N00014-91-J-1351.


RESEARCH AREAS

Theories of Learning, Inference, and Discovery
Machine Learning Systems
Data Mining and Knowledge Discovery
User Modeling and Intrusion Detection
Non-Darwinian Evolutionary Computation: Learnable Evolution Model
Machine Vision through Learning
Education

Theories of Learning, Inference, and Discovery

Inferential Theory of Learning (Michalski, Sklar, Bloedorn, Kaufman)
Multistrategy Task-Adaptive Learning: MTL (Michalski, Wnek, Kaufman, Zhang)
Knowledge Representation Using Dynamically Interlaced Hierarchies (Michalski, Alkharouf)
Cognitive Models of Plausible Reasoning (Michalski, Sklar)
Learning Goals in Multistrategy Learning (Michalski, Utz)


Machine Learning Systems

Environments for Learning and Natural Induction: STAR-AQ19/AQ21 (Michalski, Kaufman, Wojtusiak, Bloedorn, Fischthal)
Deriving Optimized Decision Trees from Attributional Rules (Michalski, Szydlo, Sniezynski)
Learning Ruletrees for Multiclass Classification Problems (Michalski, Pietrzykowski)
Learning Multihead Attributional Rules (Michalski, Pietrzykowski, Glowinski)
Data-driven Constructive Induction (Michalski, Wojtusiak, Bloedorn)
Advice-driven Constructive Induction (Michalski, Wojtusiak)
Hypothesis-driven Constructive Induction (Michalski, Wnek)
Multistrategy Constructive Induction (Michalski, Bloedorn, Wnek)
Constructive Induction in Engineering Design (Arciszewski, Michalski, Wnek, Bloedorn)
Constructive Induction Approach to Growing Neural Networks (Wnek)

Knowledge Mining, Data Mining and Knowledge Discovery

Inductive Databases and Knowledge Scouts (Michalski, Kaufman, Pietrzykowski, Sniezynski, Wojtusiak, Seeman, Fischthal, Alkharouf, White, Draminski, Glowinski)
Diagrammatic Visualization of Learning Processes (KV) (Michalski, Szymacha, Sniezynski, Vang, Zhang, Wnek)
Knowledge Discovery in Databases: INLEN (Michalski, Kaufman, Ternstedt, Bloedorn, Kerschberg, Wnek)
Learning Problem-Oriented Decision Trees from Decision Rules (Michalski, Imam)
Expert Systems with Learning Capabilities (Michalski, Kaufman, Imam, Ribeiro)
Significance Vector Approach to Analysis of Ultra-Large Databases (Michalski, Goshorn)
Symbolic Meta-analysis of Aggregated Data (Wojtusiak, Baranova, Michalski, Simanivanh)
Learning Capabilities in Autonomous Transportation (Wojtusiak, Michalski, Gehrke, Herzog)
Learning Natural Language Descriptions (Michalski, Wojtusiak)
Natural Induction Approach to Analytical Relapse Prevention (Wojtusiak, Michalski)

User Modeling and Intrusion Detection

Learning User Signatures Through Symbolic Learning (LUS) (Michalski, Kaufman, Pietrzykowski, Wojtusiak)

Non-Darwinian Evolutionary Computation: Learnable Evolution Model

Multistrategy Evolution using the Learnable Evolution Model (Michalski, Wojtusiak, Kaufman)
Learnable Evolution Model in Engineering Design (Michalski, Kaufman, Wojtusiak)

Machine Vision through Learning

Multi-Level Image Sampling and Interpretation: MIST Methodology (Michalski, Duric, Zhang, Maloof)
Machine Vision and Learning (Michalski, Duric, Maloof, Zhang, Wnek, Bloedorn) (with Computer Vision Laboratory of the University of Maryland at College Park, Rosenfeld, Aloimonos, Davis)
Multistrategy Learning Vision Tasks by Integrating Symbolic and Neural Net Learning for Vision Tasks (Michalski, Zhang)
Learning to Recognize Shapes (Michalski, Duric, Maloof)
Dynamic Recognition (Michalski, Bloedorn)


Education

Integrated Learning Systems for Education and Research: iAQ (Pietrzykowski, Michalski, Kaufman)
Integrated Learning Systems for Education and Research: Emerald JAVA Version (Michalski, Galkowski, Gorczyca, Jakubiec, Jura, Pawlowski, Rajda)
Integrated Learning Systems for Education and Research: Emerald Sun Version (Michalski, Kaufman, Bloedorn)


Copyright © 2008 Machine Learning and Inference Laboratory