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- W2394341591 abstract "BB is an optimal algorithm of feature subset selection. The high computational complexity of this algorithm is its inherent problem. BB algorithm constructs a search tree, and then searches for the optimal feature subset in the tree. The previous research on BB algorithm focused on simplifying the search tree in order to reduce the search complexity, and several improvements have already existed. A theoretical analysis of basic BB algorithm and the previous improvements are given under a common framework in which all the algorithms are compared. Based on this analysis, an improved BB algorithm--BBPP+--is proposed. Experimental comparison shows that BBPP+ is more efficient than all previous algorithms. ;" @default.
- W2394341591 created "2016-06-24" @default.
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- W2394341591 date "2003-01-01" @default.
- W2394341591 modified "2023-09-25" @default.
- W2394341591 title "Improvement and comparative analysis of B&B algorithm in feature selection" @default.
- W2394341591 hasPublicationYear "2003" @default.
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