68 search results - page 7 / 14 » A stopping criterion for active learning |
ICML
2003
IEEE
16 years 14 days ago
2003
IEEE
In many real world applications, active selection of training examples can significantly reduce the number of labelled training examples to learn a classification function. Differ...
77
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JCP
2007
14 years 11 months ago
2007
—Educational technology is seen as key for lifelong learning, but it has yet to live up to expectation. We argue that current learning environments are typically oriented too muc...
116
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NIPS
1992
15 years 25 days ago
1992
This paper describes a technique for learning both the number of states and the topologyof Hidden Markov Models from examples. The inductionprocess starts with the most specific m...
124
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ICANN
2010
Springer
15 years 22 days ago
2010
Springer
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
GECCO
2004
Springer
15 years 5 months ago
2004
Springer
Multiple Species Weighted Voting (MSWV) is a genetics-based machine learning (GBML) system with relatively few parameters that combines N two-class classifiers into an N -class cla...