3096 search results - page 25 / 620 » Theory and Use of the EM Algorithm |
NIPS
2007
15 years 2 months ago
2007
We investigate a new, convex relaxation of an expectation-maximization (EM) variant that approximates a standard objective while eliminating local minima. First, a cautionary resu...
106
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ICASSP
2008
IEEE
15 years 8 months ago
2008
IEEE
In this paper, we propose a novel multi-dimensional distributed hidden Markov model (DHMM) framework. We first extend the theory of 2D hidden Markov models (HMMs) to arbitrary ca...
120
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IJON
1998
15 years 1 months ago
1998
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
105
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AIRS
2004
Springer
15 years 6 months ago
2004
Springer
This paper presents a novel algorithm for document clustering based on a combinatorial framework of the Principal Direction Divisive Partitioning (PDDP) algorithm [1] and a simpli...
ICML
2010
IEEE
15 years 2 months ago
2010
IEEE
We develop a new algorithm, based on EM, for learning the Linear Dynamical System model. Called the method of Approximated Second-Order Statistics (ASOS) our approach achieves dra...