3050 search results - page 258 / 610 » On-line Algorithms in Machine Learning |
141
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EDUTAINMENT
2007
Springer
15 years 10 months ago
2007
Springer
Due to the high-dimensionality of motion captured data which resulted in the complexity in motion analysis, a method of motion data processing based on manifold learning was propos...
178
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CIVR
2005
Springer
15 years 10 months ago
2005
Springer
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
130
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ECML
2005
Springer
15 years 10 months ago
2005
Springer
Discriminative learning techniques for sequential data have proven to be more effective than generative models for named entity recognition, information extraction, and other task...
151
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ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...
128
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ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
The k q-flats algorithm is a generalization of the popular k-means algorithm where q dimensional best fit affine sets replace centroids as the cluster prototypes. In this work, a ...