395 search results - page 59 / 79 » Learning to rank with partially-labeled data |
ICML
2009
IEEE
16 years 16 days ago
2009
IEEE
Given multiple possible models b1, b2, . . . bn for a protein structure, a common sub-task in in-silico Protein Structure Prediction is ranking these models according to their qua...
82
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ICML
2008
IEEE
16 years 16 days ago
2008
IEEE
We propose a new algorithm for independent component and independent subspace analysis problems. This algorithm uses a contrast based on the Schweizer-Wolff measure of pairwise de...
108
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ICML
2005
IEEE
16 years 16 days ago
2005
IEEE
We derive algorithms for finding a nonnegative n-dimensional tensor factorization (n-NTF) which includes the non-negative matrix factorization (NMF) as a particular case when n = ...
102
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ICCPOL
2009
Springer
14 years 9 months ago
2009
Springer
Conditional random fields (CRFs) have been quite successful in various machine learning tasks. However, as larger and larger data become acceptable for the current computational ma...
110
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KDD
2010
ACM
15 years 1 months ago
2010
ACM
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...