This book offers a coherent and comprehensive approach to feature subset selection in the scope of classification problems, explaining the foundations, real application problems and the challenges of feature selection for high-dimensional data.
The authors first focus on the analysis and synthesis of feature selection algorithms, presenting a comprehensive review of basic concepts and experimental results of the most well-known algorithms.
They then address different real scenarios with high-dimensional data, showing the use of feature selection algorithms in different...
This book offers a coherent and comprehensive approach to feature subset selection in the scope of classification problems, explaining the foundati...
This book offers a comprehensive overview of ensemble learning in the field of feature selection (FS), which consists of combining the output of multiple methods to obtain better results than any single method.
This book offers a comprehensive overview of ensemble learning in the field of feature selection (FS), which consists of combining the output of multi...