5213 search results - page 727 / 1043 » A statistical model of skewed-associativity |
172
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GECCO
2007
Springer
16 years 29 days ago
2007
Springer
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
194
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CIKM
2005
Springer
16 years 10 days ago
2005
Springer
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
182
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GECCO
2005
Springer
16 years 9 days ago
2005
Springer
We explore several different techniques in our quest to improve the overall model performance of a genetic algorithm calibrated probabilistic cellular automata. We use the Kappa ...
168
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MM
2004
ACM
16 years 7 days ago
2004
ACM
This paper considers the problems of feature variation and concept uncertainty in typical learning-based video semantic classification schemes. We proposed a new online semantic c...
204
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CIVR
2004
Springer
16 years 6 days ago
2004
Springer
In this paper, we propose the use of the Maximum Entropy approach for the task of automatic image annotation. Given labeled training data, Maximum Entropy is a statistical techniqu...