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» Probabilistic logic with independence
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ICIP
2001
IEEE
14 years 10 months ago
EM algorithms of Gaussian mixture model and hidden Markov model
The HMM (Hidden Markov Model) is a probabilistic model of the joint probability of a collection of random variables with both observations and states. The GMM (Gaussian Mixture Mo...
Guorong Xuan, Wei Zhang, Peiqi Chai
ICML
2005
IEEE
14 years 9 months ago
Naive Bayes models for probability estimation
Naive Bayes models have been widely used for clustering and classification. However, they are seldom used for general probabilistic learning and inference (i.e., for estimating an...
Daniel Lowd, Pedro Domingos
ALDT
2009
Springer
140views Algorithms» more  ALDT 2009»
14 years 3 months ago
Directional Decomposition of Multiattribute Utility Functions
Abstract. Several schemes have been proposed for compactly representing multiattribute utility functions, yet none seems to achieve the level of success achieved by Bayesian and Ma...
Ronen I. Brafman, Yagil Engel
ICASSP
2008
IEEE
14 years 3 months ago
Modeling regulatory sites with higher order position-dependent weight matrices
Identification of regulatory signals in DNA depends on the nature and quality of the patterns of representative sequences. These patterns are constructed from training sets of se...
Hossein Zare, Mostafa Kaveh, Arkady B. Khodursky
ICPR
2008
IEEE
14 years 3 months ago
Numerical analysis of Mahalanobis metric in vector space
The Mahalanobis metric was proposed by extending the Mahalanobis distance to provide a probabilistic distance for a non-normal distribution. The Mahalanobis metric equation is a n...
Joken Son, Naoya Inoue, Yukihiko Yamashita