594 search results - page 10 / 119 » Feature Selection for Value Function Approximation Using Bay... |
ICMLA
2009
13 years 5 months ago
2009
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
This paper addresses feature selection techniques for classification of high dimensional data, such as those produced by microarray experiments. Some prior knowledge may be availa...
ECAI
2010
Springer
13 years 8 months ago
2010
Springer
In the last decades enormous advances have been made possible for modelling complex (physical) systems by mathematical equations and computer algorithms. To deal with very long run...
SIGMOD
1994
ACM
13 years 11 months ago
1994
ACM
In this paper, we propose a novel approach for estimating the record selectivities of database queries. The real attribute value distribution is adaptively approximated by a curve...
JIPS
2006
13 years 7 months ago
2006
: This paper presents a feature selection technique based on distributional differences for efficient machine learning. Initial training data consists of data including many featur...