5802 search results - page 158 / 1161 » Parallelizing Feature Selection |
115
Voted
LREC
2010
15 years 4 months ago
2010
Parallel corpora are indispensable resources for a variety of multilingual natural language processing tasks. This paper presents a technique for fully automatic construction of c...
150
Voted
JMLR
2011
14 years 9 months ago
2011
We propose a framework MIC (Multiple Inclusion Criterion) for learning sparse models based on the information theoretic Minimum Description Length (MDL) principle. MIC provides an...
112
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PARELEC
2002
IEEE
15 years 7 months ago
2002
IEEE
Integration of P-GRADE with Condor and parallel check-pointing results in an environment under which both interactive parallel program development and batch mode execution is poss...
109
Voted
CVPR
2008
IEEE
2008
IEEE
Discovering class specific composite features through discriminative sampling with Swendsen-Wang Cut
16 years 4 months ago
This paper proposes a novel approach to discover a set of class specific "composite features" as the feature pool for the detection and classification of complex objects...
107
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SARA
2005
Springer
15 years 8 months ago
2005
Springer
Sets of features in Markov decision processes can play a critical role ximately representing value and in abstracting the state space. Selection of features is crucial to the succe...