2681 search results - page 306 / 537 » Learning to learn with the informative vector machine |
167
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CP
2004
Springer
16 years 2 days ago
2004
Springer
Constraint programming is rapidly becoming the technology of choice for modeling and solving complex combinatorial problems. However, users of constraint programming technology nee...
171
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SODA
2001
ACM
15 years 8 months ago
2001
ACM
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
180
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ECCV
2008
Springer
16 years 8 months ago
2008
Springer
Abstract. Building visual recognition models that adapt across different domains is a challenging task for computer vision. While feature-learning machines in the form of hierarchi...
185
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SIBGRAPI
2009
IEEE
16 years 1 months ago
2009
IEEE
Appearance information is essential for applications such as tracking and people recognition. One of the main problems of using appearance-based discriminative models is the ambig...
220
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ATAL
2006
Springer
15 years 10 months ago
2006
Springer
In this paper, we describe an innovative infrastructure to support student participation and collaboration and help the instructor manage large or distance classrooms using multia...