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Now showing items 163-182 of 310

Learnable Evolution: Combining Symbolic and Evolutionary Learning

Michalski, Ryszard S. (1998-06)
Learning and Cognition

Michalski, Ryszard S. (1995-07)
Learning and Evolution: An Introduction to Non-Darwinian Evolutionary Computation

Michalski, Ryszard S. (2000)

The field of evolutionary computation has drawn inspiration from Darwinian evolution in which species adapt to the environment through random variations and selection of the fittest. This type of evolutionary computation ...
Learning and Generalization of Characteristic Descriptions: Evaluation Criteria and Comparative Review of Selected Methods

Dietterich, Thomas G.; Michalski, Ryszard S. (1979-08)
Learning and Generalization of Structural Descriptions: Evaluation Criteria and Comparative Review of Selected Methods

Dieterrich, Thomas G.; Michalski, Ryszard S. (1980-02)
Learning as Goal-Driven Inference

Michalski, Ryszard S.; Ram, Ashwin (1994-10)
Learning by Inductive Inference

Michalski, Ryszard S. (1976)
Learning Decision Trees from Decision Rules: A Method and Initial Results from a Comparative Study

Imam, Ibrahim F.; Michalski, Ryszard S. (1993-05)
Learning Descriptions of 2D Shapes for Object Recognition and X-Ray Images

Maloof, Marcus A.; Michalski, Ryszard S. (1994-10)
Learning Evolving Concepts Using Partial Memory Approach

Maloof, Marcus A.; Michalski, Ryszard S. (1995-11)
Learning Flexible Concepts Through a Search for Simpler but Still Accurate Descriptions

Bergadano, Francesco; Matwin, Stan; Zhang, Jianping; Michalski, Ryszard S. (1989-10)
Learning from Inconsistent and Noisy Data: The AQ18 Approach

Kaufman, Kenneth A.; Michalski, Ryszard S. (1999-06)
Learning from Observation: Conceptual Clustering

Michalski, Ryszard S.; Stepp, Robert E. (1983)
Learning Hybrid Descriptions

Michalski, Ryszard S.; Wnek, Janusz (1995-06)
Learning in an Inconsistent World: Rule Selection in AQ18

Kaufman, Kenneth A.; Michalski, Ryszard S. (1999-05)
Learning Patterns in Noisy Data: The AQ Approach

Michalski, Ryszard S.; Kaufman, Kenneth A. (2001)
Learning Rules for Preventing and Diagnosing Faults in Large-Scale Data Communications Networks: An Exploratory Study

Janssen, Terry; Bloedorn, Eric; Hieb, Michael R.; Michalski, Ryszard S. (1991-11)
Learning Strategies and Automated Knowledge Acquisition: An Overview

Michalski, Ryszard S. (1984-11)
Learning Symbolic Descriptions of 2D Shapes for Object Recognition in X-ray Images

Maloof, Marcus A.; Michalski, Ryszard S. (1995-10)
Learning Symbolic Descriptions of Shape for Object Recognition In X-Ray Images

Michalski, Ryszard S. (Elsevier, http://www.elsevier.com/locate/eswa, 1997)

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