877 search results - page 32 / 176 » Selection of Subsets of Ordered Features in Machine Learning |
121
Voted
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
We address feature selection problems for classification of small samples and high dimensionality. A practical example is microarray-based cancer classification problems, where sa...
121
Voted
KAIS
2007
15 years 3 months ago
2007
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
136
Voted
PRIB
2010
Springer
15 years 2 months ago
2010
Springer
We studied 1372 LacI-family transcription factors and their 4484 DNA binding sites using machine learning algorithms and feature selection techniques. The Naive Bayes classifier a...
154
Voted
TNN
2010
14 years 10 months ago
2010
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
127
click to vote
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
We study an interesting and challenging problem, online streaming feature selection, in which the size of the feature set is unknown, and not all features are available for learni...