On use of predictive probabilistic estimate for selecting best decision rules in the course of search.

V. Brailovsky

On use of predictive probabilistic estimate for selecting best decision rules in the course of search.

V. Brailovsky^*

^*Corresponding author for this work

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

The problem of how to find the 'best' decision rule in the course of a search with the help of analysis of sample set is considered. Specifically the problem of selecting of best subset of regressors is highlighted. The concepts of predictive probabilistic estimate (PPE), decomposition of a search process on stages, ensemble of noise functions and reference probability distribution on it are introduced and discussed. A Monte Carlo procedure for estimating PPE is suggested and applied to a practical example. A method of obtaining upper and lower bounds for the PPE is suggested.

Original language	English
Title of host publication	Proc CVPR 88 Comput Soc Conf on Comput Vision and Pattern Recognit
Publisher	Publ by IEEE
Pages	469-475
Number of pages	7
ISBN (Print)	0818608625
State	Published - 1988

Publication series

Name	Proc CVPR 88 Comput Soc Conf on Comput Vision and Pattern Recognit

Cite this

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title = "On use of predictive probabilistic estimate for selecting best decision rules in the course of search.",

abstract = "The problem of how to find the 'best' decision rule in the course of a search with the help of analysis of sample set is considered. Specifically the problem of selecting of best subset of regressors is highlighted. The concepts of predictive probabilistic estimate (PPE), decomposition of a search process on stages, ensemble of noise functions and reference probability distribution on it are introduced and discussed. A Monte Carlo procedure for estimating PPE is suggested and applied to a practical example. A method of obtaining upper and lower bounds for the PPE is suggested.",

author = "V. Brailovsky",

year = "1988",

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On use of predictive probabilistic estimate for selecting best decision rules in the course of search. / Brailovsky, V.
Proc CVPR 88 Comput Soc Conf on Comput Vision and Pattern Recognit. Publ by IEEE, 1988. p. 469-475 (Proc CVPR 88 Comput Soc Conf on Comput Vision and Pattern Recognit).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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BT - Proc CVPR 88 Comput Soc Conf on Comput Vision and Pattern Recognit

PB - Publ by IEEE

ER -

On use of predictive probabilistic estimate for selecting best decision rules in the course of search.

Abstract

Publication series

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