1474 search results - page 146 / 295 » Using Machine Learning to Focus Iterative Optimization |
137
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
Conditional log-linear models are a commonly used method for structured prediction. Efficient learning of parameters in these models is therefore an important problem. This paper ...
115
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ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
Maximum Margin Matrix Factorization (MMMF) was recently suggested (Srebro et al., 2005) as a convex, infinite dimensional alternative to low-rank approximations and standard facto...
122
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ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
In this paper, we consider a smoothing kernelbased classification rule and propose an algorithm for optimizing the performance of the rule by learning the bandwidth of the smoothi...
133
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EUROCOLT
1999
Springer
15 years 7 months ago
1999
Springer
Many settings of unsupervised learning can be viewed as quantization problems — the minimization of the expected quantization error subject to some restrictions. This allows the ...
ECML
2001
Springer
15 years 7 months ago
2001
Springer
When correct priors are known, Bayesian algorithms give optimal decisions, and accurate confidence values for predictions can be obtained. If the prior is incorrect however, these...