246 search results - page 37 / 50 » On Optimal Learning Algorithms for Multiplicity Automata |
103
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JMLR
2011
14 years 6 months ago
2011
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
127
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ICML
2010
IEEE
15 years 23 days ago
2010
IEEE
We develop an efficient learning framework to construct signal dictionaries for sparse representation by selecting the dictionary columns from multiple candidate bases. By sparse,...
113
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MM
2006
ACM
15 years 5 months ago
2006
ACM
In many image retrieval applications, the mapping between highlevel semantic concept and low-level features is obtained through a learning process. Traditional approaches often as...
135
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KDD
2012
ACM
13 years 2 months ago
2012
ACM
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
121
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RECOMB
2009
Springer
16 years 9 days ago
2009
Springer
Accurately aligning distant protein sequences is notoriously difficult. A recent approach to improving alignment accuracy is to use additional information such as predicted seconda...