308 search results - page 18 / 62 » Bayesian Classification With Gaussian Processes |
ECML
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. In contrast to the standard inductive inference setting of predictive machine learning, in real world learning problems often the test instances are already available at ...
UAI
2004
14 years 11 months ago
2004
Ancestral graph models, introduced by Richardson and Spirtes (2002), generalize both Markov random fields and Bayesian networks to a class of graphs with a global Markov property ...
CORR
2010
Springer
14 years 10 months ago
2010
Springer
As increasing amounts of sensitive personal information is aggregated into data repositories, it has become important to develop mechanisms for processing the data without revealin...
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CVPR
2009
IEEE
2009
IEEE
Switching Gaussian Process Dynamic Models for simultaneous composite motion tracking and recognition
15 years 1 months ago
Traditional dynamical systems used for motion tracking cannot effectively handle high dimensionality of the motion states and composite dynamics. In this paper, to address both is...
ICMCS
2009
IEEE
14 years 7 months ago
2009
IEEE
Gaussian mixture models (GMMs) and the minimum error rate classifier (i.e. Bayesian optimal classifier) are popular and effective tools for speech emotion recognition. Typically, ...