10458 search results - page 348 / 2092 » Modeling Features at Runtime |
213
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KDD
2010
ACM
15 years 10 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
170
Voted
BMCBI
2010
15 years 6 months ago
2010
Background: Feature gene extraction is a fundamental issue in microarray-based biomarker discovery. It is normally treated as an optimization problem of finding the best predictiv...
185
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ICSE
2003
IEEE-ACM
15 years 12 months ago
2003
IEEE-ACM
ct Feature Oriented Programming (FOP) is a design methodology and tools for program synthesis. The goal is to specify a target program in terms of the features that it offers, and ...
201
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CIKM
2011
Springer
14 years 6 months ago
2011
Springer
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
214
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KDD
2006
ACM
16 years 7 months ago
2006
ACM
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...