Accession Number : ADA294069

Title :   Adapting the Evaluation Space to Improve Global Learning,

Corporate Author : NAVAL RESEARCH LAB WASHINGTON DC

Personal Author(s) : Schultz, Alan C.

PDF Url : ADA294069

Report Date : 1991

Pagination or Media Count : 7

Abstract : In domains where a stochastic process is involved in the evaluation of a candidate solution, multiple evaluations are necessary to obtain a good estimate of the performance of an individual. This work shows that biasing the sampling of that problem configuration space can lead to better performance of the structure being learned given the same amount of effort. (AN)

Descriptors :   *LEARNING MACHINES, ALGORITHMS, GLOBAL, OPTIMIZATION, STOCHASTIC PROCESSES, PARAMETERS, ANALYSIS OF VARIANCE, PROBLEM SOLVING, SOLUTIONS(GENERAL), SEARCHING, SAMPLING, HEURISTIC METHODS, KNOWLEDGE BASED SYSTEMS, SYSTEMS ANALYSIS, BIAS.

Subject Categories : Cybernetics
      Operations Research

Distribution Statement : APPROVED FOR PUBLIC RELEASE