888 search results - page 101 / 178 » Learning to Select a Ranking Function |
122
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ICASSP
2008
IEEE
15 years 9 months ago
2008
IEEE
This paper investigates a class of learning problems called learning satisfiability (LSAT) problems, where the goal is to learn a set in the input (feature) space that satisfies...
110
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CIVR
2007
Springer
15 years 9 months ago
2007
Springer
Fusion of multimedia streams for enhanced performance is a critical problem for retrieval. However, fusion performance tends to easily overfit the hillclimb set used to learn fus...
157
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JMLR
2012
13 years 5 months ago
2012
We study the prevalent problem when a test distribution differs from the training distribution. We consider a setting where our training set consists of a small number of sample d...
127
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COLT
1992
Springer
15 years 7 months ago
1992
Springer
We consider learning in situations where the function used to classify examples may switch back and forth between a small number of different concepts during the course of learnin...
135
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ECML
2006
Springer
15 years 6 months ago
2006
Springer
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...