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136
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AAAI
2008
15 years 5 months ago
2008
Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...
145
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AAI
2005
15 years 3 months ago
2005
This paper is about people. It is about understanding how learning and communication mutually influence one another; allowing people to infer each other's communicative behavi...
113
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ML
2002
ACM
15 years 2 months ago
2002
ACM
The execution order of a block of computer instructions on a pipelined machine can make a difference in running time by a factor of two or more. Compilers use heuristic schedulers...
123
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ML
2006
ACM
15 years 3 months ago
2006
ACM
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
136
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...