2681 search results - page 279 / 537 » Learning to learn with the informative vector machine |
156
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SAC
2005
ACM
16 years 8 days ago
2005
ACM
Machine learning techniques are widely used in negotiation systems. To get more accurate and satisfactory learning results, negotiation parties have the desire to employ learning ...
157
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
The l-bfgs limited-memory quasi-Newton method is the algorithm of choice for optimizing the parameters of large-scale log-linear models with L2 regularization, but it cannot be us...
183
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ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
One of the main problems in probabilistic grammatical inference consists in inferring a stochastic language, i.e. a probability distribution, in some class of probabilistic models...
149
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ECML
2007
Springer
16 years 26 days ago
2007
Springer
We describe a novel framework for class noise mitigation that assigns a vector of class membership probabilities to each training instance, and uses the confidence on the current ...
189
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KAIS
2006
15 years 6 months ago
2006
Abstract. Many supervised machine learning tasks can be cast as multi-class classification problems. Support vector machines (SVMs) excel at binary classification problems, but the...