225 search results - page 12 / 45 » Feature selection is the ReliefF for multiple instance learn... |
ICPR
2004
IEEE
15 years 10 months ago
2004
IEEE
Feature subset selection, applied as a pre-processing step to machine learning, is valuable in dimensionality reduction, eliminating irrelevant data and improving classifier perfo...
91
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AUSAI
2004
Springer
15 years 2 months ago
2004
Springer
Abstract. The algorithm selection problem aims to select the best algorithm for an input problem instance according to some characteristics of the instance. This paper presents a l...
JMLR
2010
14 years 4 months ago
2010
Simple features constructed from order book data for the EURUSD currency pair were used to construct a set of kernels. These kernels were used both individually and simultaneously...
105
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SDM
2007
SIAM
14 years 11 months ago
2007
SIAM
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
SDM
2007
SIAM
14 years 11 months ago
2007
SIAM
We study the joint feature selection problem when learning multiple related classification or regression tasks. By imposing an automatic relevance determination prior on the hypo...