877 search results - page 22 / 176 » Selection of Subsets of Ordered Features in Machine Learning |
125
click to vote
EWCBR
2006
Springer
15 years 5 months ago
2006
Springer
Feature selection for unsupervised tasks is particularly challenging, especially when dealing with text data. The increase in online documents and email communication creates a nee...
136
Voted
ICML
2007
IEEE
16 years 2 months ago
2007
IEEE
We introduce a framework for filtering features that employs the Hilbert-Schmidt Independence Criterion (HSIC) as a measure of dependence between the features and the labels. The ...
125
click to vote
GECCO
2008
Springer
15 years 2 months ago
2008
Springer
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
159
click to vote
ICML
2001
IEEE
16 years 2 months ago
2001
IEEE
In this paper, we examine the advantages and disadvantages of filter and wrapper methods for feature selection and propose a new hybrid algorithm that uses boosting and incorporat...
120
click to vote
AI
2004
Springer
15 years 1 months ago
2004
Springer
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...