769 search results - page 91 / 154 » Bayesian Generalized Kernel Models |
117
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NIPS
2003
14 years 11 months ago
2003
In this paper we introduce a new underlying probabilistic model for principal component analysis (PCA). Our formulation interprets PCA as a particular Gaussian process prior on a ...
ICDM
2008
IEEE
15 years 4 months ago
2008
IEEE
The problem of overlapping clustering, where a point is allowed to belong to multiple clusters, is becoming increasingly important in a variety of applications. In this paper, we ...
145
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Book
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
KBSE
2007
IEEE
15 years 4 months ago
2007
IEEE
toolkit demonstrates that predicate abstraction enables automated verification of real world Windows device Our predicate abstraction-based tool DDVerify enables the automated ve...
ESWS
2008
Springer
14 years 11 months ago
2008
Springer
Exploiting the complex structure of relational data enables to build better models by taking into account the additional information provided by the links between objects. We exten...