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Sinopse
The book begins by exploring unsupervised, randomized, and causal feature selection. It then reports on some recent results of empowering feature selection, including active feature selection, decision-border estimate, the use of ensembles with independent probes, and incremental feature selection. This is followed by discussions of weighting and local methods, such as the ReliefF family, k-means clustering, local feature relevance, and a new interpretation of Relief. The book subsequently covers text classification, a new feature selection score, and both constraint-guided and aggressive feature selection. The final section examines applications of feature selection in bioinformatics, including feature construction as well as redundancy-, ensemble-, and penalty-based feature selection.
Through a clear, concise, and coherent presentation of topics, this volume systematically covers the key concepts, underlying principles, and inventive applications of feature selection, illustrating how this powerful tool can efficiently harness massive, high-dimensional data and turn it into valuable, reliable information.
Ficha técnica
Especificações
ISBN | 9781584888789 |
---|---|
Pré venda | Não |
Peso | 491g |
Autor para link | LIU HUAN |
Livro disponível - pronta entrega | Não |
Dimensões | 23 x 16 x 1 |
Tipo item | Livro Importado |
Número de páginas | 440 |
Número da edição | 1ª EDIÇÃO - 2007 |
Código Interno | 632791 |
Código de barras | 9781584888789 |
Acabamento | HARDCOVER |
Autor | LIU, HUAN |
Editora | CRC PRESS |
Sob encomenda | Sim |