220 search results - page 31 / 44 » Expected Sequence Similarity Maximization |
93
Voted
ECML
2006
Springer
15 years 4 months ago
2006
Springer
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
113
Voted
CEC
2010
IEEE
15 years 1 months ago
2010
IEEE
Unsupervised grammar induction is one of the most difficult works of language processing. Its goal is to extract a grammar representing the language structure using texts without a...
94
Voted
MOR
2006
15 years 20 days ago
2006
This paper provides guidance for operating an assemble-to-order system to maximize expected discounted profit, assuming that a high volume of prospective customers arrive per unit...
117
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SDM
2008
SIAM
15 years 2 months ago
2008
SIAM
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
160
Voted
CVPR
2009
IEEE
16 years 7 months ago
2009
IEEE
Estimating the illumination and the reflectance properties
of an object surface from a sparse set of images is an
important but inherently ill-posed problem. The problem
becomes...