107 search results - page 12 / 22 » Learning to rank using gradient descent |
101
Voted
ICML
2009
IEEE
14 years 10 months ago
2009
IEEE
We address the problem of learning classifiers using several kernel functions. On the contrary to many contributions in the field of learning from different sources of information...
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
In this paper we introduce the first algorithms for efficiently learning a simulation policy for Monte-Carlo search. Our main idea is to optimise the balance of a simulation polic...
166
Voted
HIS
2001
15 years 2 months ago
2001
Selection of the topology of a neural network and correct parameters for the learning algorithm is a tedious task for designing an optimal artificial neural...
125
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ICTAI
2008
IEEE
15 years 7 months ago
2008
IEEE
Unlike simple questions, complex questions cannot be answered by simply extracting named entities. These questions require inferencing and synthesizing information from multiple d...
111
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ICCV
2007
IEEE
16 years 2 months ago
2007
IEEE
Boosting has been widely applied in computer vision, especially after Viola and Jones's seminal work [23]. The marriage of rectangular features and integral-imageenabled fast...