1930 search results - page 223 / 386 » Learning to Solve QBF |
273
Voted
ICANN
2011
Springer
14 years 7 months ago
2011
Springer
Attribute importance measures for supervised learning are important for improving both learning accuracy and interpretability. However, it is well-known there could be bias when th...
107
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CIKM
2011
Springer
14 years 3 months ago
2011
Springer
Various semi-supervised learning methods have been proposed recently to solve the long-standing shortage problem of manually labeled data in sentiment classification. However, mos...
171
Voted
DAGM
2011
Springer
14 years 3 months ago
2011
Springer
Conditional Random Fields (CRFs) are popular models in computer vision for solving labeling problems such as image denoising. This paper tackles the rarely addressed but important ...
128
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
In this paper we propose a novel, scalable, clustering based Ordinal Regression formulation, which is an instance of a Second Order Cone Program (SOCP) with one Second Order Cone ...
135
Voted
RECOMB
2006
Springer
16 years 4 months ago
2006
Springer
For as long as biologists have been computing alignments of sequences, the question of what values to use for scoring substitutions and gaps has persisted. While some choices for s...