377 search results - page 45 / 76 » Learning Linear Ordering Problems for Better Translation |
143
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ICASSP
2011
IEEE
14 years 5 months ago
2011
IEEE
Kernel nonnegative matrix factorization (KNMF) is a recent kernel extension of NMF, where matrix factorization is carried out in a reproducing kernel Hilbert space (RKHS) with a f...
121
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MVA
2007
15 years 3 months ago
2007
Non-negative matrix factorization (NMF) is a powerful feature extraction method for finding parts-based, linear representations of non-negative data . Inherently, it is unsupervis...
141
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ROBOCUP
2000
Springer
15 years 5 months ago
2000
Springer
Q-learning, a most widely used reinforcement learning method, normally needs well-defined quantized state and action spaces to converge. This makes it difficult to be applied to re...
116
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IADIS
2003
15 years 3 months ago
2003
In recent years the increasing use of the WWW in learning environments has enabled the development of different systems for distributing and producing web-based courses. In such s...
141
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ANOR
2011
14 years 9 months ago
2011
A vital task facing government agencies and commercial organizations that report data is to represent the data in a meaningful way and simultaneously to protect the confidentialit...