1683 search results - page 103 / 337 » Learning with Mixtures of Trees |
ICONIP
2004
13 years 10 months ago
2004
Variational methods have proved popular and effective for inference and learning in intractable graphical models. An attractive feature of the approaches based on the Kullback-Lei...
ICASSP
2010
IEEE
13 years 9 months ago
2010
IEEE
In this paper, we explore the use of a Gaussian posteriorgram based representation for unsupervised discovery of speech patterns. Compared with our previous work, the new approach...
ICASSP
2011
IEEE
13 years 29 days ago
2011
IEEE
Modern approaches to speaker recognition (verification) operate in a space of “supervectors” created via concatenation of the mean vectors of a Gaussian mixture model (GMM) a...
ICML
2001
IEEE
14 years 10 months ago
2001
IEEE
Accurate, well-calibrated estimates of class membership probabilities are needed in many supervised learning applications, in particular when a cost-sensitive decision must be mad...
ICML
2000
IEEE
14 years 10 months ago
2000
IEEE
This paper investigates how the splitting criteria and pruning methods of decision tree learning algorithms are influenced by misclassification costs or changes to the class distr...