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Now showing items 226-245 of 310

Multitype Pattern Discovery Via AQ21: A Brief Description of the Method and Its Novel Features

Wojtusiak, Janusz; Michalski, Ryszard S.; Kaufman, Kenneth A.; Pietrzykowski, Jaroslaw (2006-06)

The AQ21 program seeks different types of patterns in data and represents them in human-oriented forms resembling natural language descriptions. Because of the latter feature it is called a natural induction program. This ...
Natural Induction and Conceptual Clustering: A Review of Applications

Michalski, Ryszard S.; Kaufman, Kenneth A.; Pietrzykowski, Jaroslaw; Wojtusiak, Janusz; Mitchell, Scott; Seeman, Doug (2006-06)

Natural induction and conceptual clustering are two methodologies pioneered by the GMU Machine Learning and Inference Laboratory for discovering conceptual relationships in data, and presenting them in the forms easy for ...
On Learning Decision Structures

Imam, Ibrahim F.; Michalski, Ryszard S. (1997)
On the Nature of Explanation or Why Did the Wine Bottle Shatter

Michalski, Ryszard S.; Ko, Heedong (1988-03)
On the Nature of Learning: Problems and Research Directions

Michalski, Ryszard S. (1988)
On the Problems of Buidling Reading Machines

Michalski, Ryszard S. (1968)
On the Quasi-Minimal Solution of the General Covering Problem

Michalski, Ryszard S. (1969)
On the Selection of Representative Samples from Large Relational Tables for Inductive Inference

Michalski, Ryszard S. (1975-07)
An Optimized Design of Finned-Tube Evaporators Using the Learnable Evolution Model

Domanski, Piotr A.; Yashar, David; Kaufman, Kenneth A.; Michalski, Ryszard S. (2004-02)

Optimizing the refrigerant circuitry for a finned-tube evaporator is a daunting task for traditional exhaustive search techniques due to the extremely large number of circuitry possibilities. For this reason, more intelligent ...
An Overview of Machine Learning

Carbonell, Jaime G.; Michalski, Ryszard S.; Mitchell, Tom M. (1983)
An Overview of Research Activities in the Machine Learning and Inference Laboratory: 1996-1997

Michalski, Ryszard S. (1997)
An Overview of Research Activities in the Machine Learning and Inference Laboratory: 1997-1998

Zhang, Qi; Michalski, Ryszard S. (1998-01)
A Partial Memory Incremental Learning Methodology and its Application to Computer Intrusion Detection

Maloof, Marcus A.; Michalski, Ryszard S. (1995-03)
Partial Memory Learning System AQ-PM: The Method and User's Guide

Maloof, Marcus A.; Michalski, Ryszard S. (1996-11)
Pattern Recognition as Knowledge-Guided Computer Induction

Michalski, Ryszard S. (1978-06)
Pattern Recognition as Rule-Guided Inductive Inference

Michalski, Ryszard S. (1980-07)
A Planar Geometrical Model for Representing Multi-Dimensional Discrete Spaces and Multiple-Valued Logic Functions

Michalski, Ryszard S. (1978-01)
PLANT/DS: An Expert Consulting System for the Diagnosis of Soybean Diseases

Michalski, Ryszard S.; Davis, J. H.; Bisht, V. S.; Sinclair, J. B. (1982-07)
Plausible Reasoning: An Outline of Theory and Experiments

Dontas, Kejitan; Boehm-Davis, Deborah; Michalski, Ryszard S. (1989-10)
Plausible reasoning: An outline of theory and experiments to validate its structural aspects

Michalski, Ryszard S.; Dontas, Kejitan; Boehm-Davis, Deborah (1990)

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