311 search results - page 45 / 63 » Learning first-order probabilistic models with combining rul... |
111
Voted
CLIN
2003
15 years 5 months ago
2003
A statistical estimator attempts to guess an unknown probability distribution by analyzing a sample from this distribution. One desirable property of an estimator is that its gues...
112
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ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
In real-world machine learning problems, it is very common that part of the input feature vector is incomplete: either not available, missing, or corrupted. In this paper, we pres...
145
Voted
CVPR
2010
IEEE
16 years 4 days ago
2010
IEEE
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
157
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TCBB
2008
15 years 3 months ago
2008
Abstract-- Many statistical measures and algorithmic techniques have been proposed for studying residue coupling in protein families. Generally speaking, two residue positions are ...
119
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NN
1998
Springer
15 years 3 months ago
1998
Springer
Distributed coding at the hidden layer of a multi-layer perceptron (MLP) endows the network with memory compression and noise tolerance capabilities. However, an MLP typically req...