This paper deals with the problem of feature selection. Almuallim and Dieterich [1]
developed the FOCUS algorithm which performs optimal feature selection on boolean …

A note on some feature selection criteria Page 1 Pattern Recognition Letters 10 (1989) 155 158
September 1989 North-Holland A note on some feature selection criteria CE QUEIROS Dept …

The attribute selection techniques for supervised learning, used in the preprocessing phase
to emphasize the most relevant attributes, allow making models of classification simpler and …

A fundamental problem in pattern classification is to work with a set of features which are
appropriate for the classification requirements. The first step is the feature extraction. In …

An optimal method for finding a minimum feature subset based on box classifiers is
described. Feature selection is represented as a problem of zero-one integer programming …

Classification problems map an object to a particular class using a set of available features.
The problem is how to choose the best subset of features that provide an accurate …

Feature selection plays an important role in pattern classification. In this paper, we present
an improved branch and bound algorithm for optimal feature subset selection. This algorithm …

Feature selection is a problem of choosing a subset of relevant features. In general, only
exhaustive search can bring about the optimal subset. With a monotonic measure …

Narendra and Fukunaga show that the branch and bound algorithm guarantees the optimal
feature subset without evaluating all possible feature subsets, if the criterion function used …

A heuristic search strategy taken from the field of artificial intelligence is applied to feature
selection. An algorithm called BFF for feature selection is proposed. It is proved that this …