4591 search results - page 303 / 919 » Learning from Dyadic Data |
162
Voted
NIPS
1990
15 years 6 months ago
1990
A new class of data structures called "bumptrees" is described. These structures are useful for efficiently implementing a number of neural network related operations. A...
136
Voted
ICPR
2002
IEEE
16 years 6 months ago
2002
IEEE
In this paper, we propose a new context-sensitive Bayesian learning algorithm. By modeling the distributions of data locations by a mixture of Gaussians, the new algorithm can uti...
137
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ICML
2004
IEEE
16 years 5 months ago
2004
IEEE
We present a generalization of the nonnegative matrix factorization (NMF), where a multilayer generative network with nonnegative weights is used to approximate the observed nonne...
141
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ICML
1998
IEEE
16 years 5 months ago
1998
IEEE
We analyze critically the use of classi cation accuracy to compare classi ers on natural data sets, providing a thorough investigation using ROC analysis, standard machine learnin...
151
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DAGSTUHL
2007
15 years 6 months ago
2007
Abstract. We propose a new matrix learning scheme to extend Generalized Relevance Learning Vector Quantization (GRLVQ). By introducing a full matrix of relevance factors in the dis...