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CDC
2010
IEEE
133views Control Systems» more  CDC 2010»
13 years 1 months ago
Estimating state-space models in innovations form using the expectation maximisation algorithm
The expectation maximisation (EM) algorithm has proven to be effective for a range of identification problems. Unfortunately, the way in which the EM algorithm has previously been ...
Adrian Wills, Thomas B. Schön, Brett Ninness
ICGA
1993
140views Optimization» more  ICGA 1993»
13 years 7 months ago
Expected Allele Coverage and the Role of Mutation in Genetic Algorithms
It is part of the traditional lore of genetic algorithms that low mutation rates lead to efficient search of the solution space, while high mutation rates result in diffusion of s...
David M. Tate, Alice E. Smith
IJCAI
1989
13 years 7 months ago
Layering Predictions: Flexible Use of Dialog Expectation in Speech Recognition
entional user behavior, we need a principled mannerAbstract for relaxing contextual constraints when they are violated.When computer speech recognition is used for problem In order...
Sheryl R. Young, Wayne H. Ward, Alexander G. Haupt...
ACL
1993
13 years 7 months ago
Guiding an HPSG Parser using Semantic and Pragmatic Expectations
1 Efficient natural language generation has been successfully demonstrated using highly compiled knowledge about speech acts and their related social actions. A design and prototyp...
Jim Skon
CIKM
2009
Springer
14 years 19 days ago
Expected reciprocal rank for graded relevance
While numerous metrics for information retrieval are available in the case of binary relevance, there is only one commonly used metric for graded relevance, namely the Discounted ...
Olivier Chapelle, Donald Metlzer, Ya Zhang, Pierre...