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Browsing Machine Learning and Inference Laboratory, College of Health and Human Services by Subject

Browsing Machine Learning and Inference Laboratory, College of Health and Human Services by Subject "learnable evolution model"

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The Development of the Inductive Database System VINLEN: A Review of Current Research

Cervone, Guido; Kaufman, Kenneth A.; Michalski, Ryszard S. (2003-06)

The recently introduced Learnable Evolution Model (LEM) represents a form of non-Darwinian evolutionary computation that is guided by a learning system. Specifically, LEM "genetically engineers" new populations via hypothesis ...
ISHED1: Applying the LEM Methodology to Heat Exchanger Design

Michalski, Ryszard S.; Kaufman, Kenneth A. (2000-01)
The LEM3 Implementation of Learnable Evolution Model and Its Testing on Complex Function Optimization Problems

Wojtusiak, Janusz; Michalski, Ryszard S. (2006-07)

Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new types of operators for creating new individuals, ...
The LEM3 System for Non-Darwinian Evolutionary Computation and Its Application to Complex Function Optimization

Wojtusiak, Janusz; Michalski, Ryszard S. (2005-10)

LEM3 is the newest implementation of Learnable Evolution Model (LEM), a non-Darwinian evolutionary computation methodology that employs machine learning to guide evolutionary processes. Due to a deep integration of different ...
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 ...

Browsing Machine Learning and Inference Laboratory, College of Health and Human Services by Subject "learnable evolution model"

Browsing Machine Learning and Inference Laboratory, College of Health and Human Services by Subject "learnable evolution model"

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