922 search results - page 123 / 185 » Learning Gaussian Process Models from Uncertain Data |
104
Voted
ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
Structured models often achieve excellent performance but can be slow at test time. We investigate structure compilation, where we replace structure with features, which are often...
109
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ICAPR
2005
Springer
15 years 8 months ago
2005
Springer
Histopathological tissue analysis by microscopy is a process that is subjective, prone to inter- and intra-observer variation. This, along with the problems associated with verbali...
120
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ACIIDS
2010
IEEE
15 years 5 months ago
2010
IEEE
Abstract. A genetic algorithm is used to learn a non-deterministic Petri netbased model of non-linear gene interactions, or statistical epistasis. Petri nets are computational mode...
127
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ECML
2007
Springer
15 years 8 months ago
2007
Springer
We present a framework for efficient, accurate approximate Bayesian inference in generalized linear models (GLMs), based on the expectation propagation (EP) technique. The paramete...
120
Voted
SEMCO
2007
IEEE
15 years 8 months ago
2007
IEEE
Many recent advances in complex domains such as Natural Language Processing (NLP) have taken a discriminative approach in conjunction with the global application of structural and...