2681 search results - page 104 / 537 » Learning to learn with the informative vector machine |
223
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TON
2010
15 years 22 days ago
2010
TCP throughput prediction is an important capability in wide area overlay and multi-homed networks where multiple paths may exist between data sources and receivers. In this paper...
135
Voted
ALT
2008
Springer
16 years 3 months ago
2008
Springer
The question investigated in this paper is to what extent an input representation influences the success of learning, in particular from the point of view of analyzing agents that...
148
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ALT
2001
Springer
16 years 3 months ago
2001
Springer
The present work is dedicated to the study of modes of data-presentation in the range between text and informant within the framework of inductive inference. In this study, the le...
176
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ICML
2009
IEEE
16 years 6 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
157
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JMLR
2010
15 years 25 days ago
2010
A computationally efficient approach to local learning with kernel methods is presented. The Fast Local Kernel Support Vector Machine (FaLK-SVM) trains a set of local SVMs on redu...