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Showing papers on "Feature selection published in 1972"


Proceedings ArticleDOI
01 Dec 1972
TL;DR: Strategies for sequential variable selection and classification are presented for a data base consisting of a network of causally related events and a system for diagnostic consultation in medicine has been developed applying these strategies.
Abstract: Strategies for sequential variable selection and classification are presented for a data base consisting of a network of causally related events. A system for diagnostic consultation in medicine has been developed applying these strategies.

12 citations


Journal ArticleDOI
TL;DR: The problem of feature selection in multi-class pattern recognition is viewed as that of a mapping of vector samples from n-dimensional space to that in m- dimensional space (m
Abstract: The problem of feature selection in multi-class pattern recognition is viewed as that of a mapping of vector samples from n-dimensional space to that in m-dimensional space (m

5 citations





21 Jan 1972
TL;DR: In this article, the effective utilization of large quantities of remote sensing data by formulating a three stage sampling model for evaluation of crop acreage estimates represents an improvement in determining the cost benefit relationship associated with remote sensing technology.
Abstract: Multispectral data processing procedures are outlined beginning with the data display process used to accomplish data editing and proceeding through clustering, feature selection criterion for error probability estimation, and sample clustering and sample classification. The effective utilization of large quantities of remote sensing data by formulating a three stage sampling model for evaluation of crop acreage estimates represents an improvement in determining the cost benefit relationship associated with remote sensing technology.

3 citations



Journal ArticleDOI
TL;DR: The Fisher criterion is proposed for feature selection in pattern recognition and its relationship with the divergence is presented and it is shown that feature selection is influenced by the divergence more than the other criteria.
Abstract: The Fisher criterion is proposed for feature selection in pattern recognition and its relationship with the divergence is presented

1 citations



Journal ArticleDOI
TL;DR: In this paper, a multistrategy concept is introduced to permit generalization of the feature set, and an example is presented to illustrate the concept and a feature selection problem associated with a reading machine for the blind is considered.
Abstract: The feature selection problem associated with a reading machine for the blind is considered. A multistrategy concept is introduced to permit generalization of the feature set. An example is presented to illustrate the concept.

Journal ArticleDOI
01 Mar 1972
TL;DR: Based on the potential function suggested by Bashkirov, Braverman, and Muchnik for pattern classification, a criterion is proposed for the selection of effective pattern features and its relationship with the upperbound estimate of the probability of mis recognition is presented.
Abstract: Based on the potential function suggested by Bashkirov, Braverman, and Muchnik for pattern classification, a criterion is proposed for the selection of effective pattern features. Furthermore, its relationship with the upperbound estimate of the probability of misrecognition is presented.