This algorithm dynamically searches for the globally optimal solution on a minimum solution tree which is a subtree of the solution tree used in the traditional ...
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This algorithm dynamically searches for the globally optimal solution on a minimum solution tree which is a subtree of the solution tree used in the traditional ...
Feature selection plays an important role in pattern classification. In this paper, we present an improved branch and bound algorithm for optimal feature ...
This algorithm dynamically searches for the globally optimal solution on a minimum solution tree which is a subtree of the solution tree used in the traditional ...
A novel algorithm for optimal subset selection that is usually several times faster than any other known Branch & Bound algorithm and expected when the ...
Nov 26, 2020 · This algorithm is typically used in the supervised learning algorithm. It follows a tree structure to select the best subset of features.
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This algorithm searches for an optimal solution in a large solution tree in an efficient manner by cutting unnecessary paths which are guaranteed not to contain ...
Jul 11, 2023 · The Branch and Bound algorithm is a systematic approach to finding the optimal subset of features by exploring all possible feature combinations ...
The present algorithm is very efficient and it selects the best subset without exhaustive search. Computational aspects of the algorithm are discussed.
Branch and bound algorithm is a good method for feature selection which finds the optimal subset of features of a given cardinality when the criterion function ...