Bayesian Optimization Algorithm
Mostrando 1-5 de 5 artigos, teses e dissertações.
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1. Algoritmo de otimização bayesiano com detecção de comunidades / Bayesian optimization algorithm with community detection
ALGORITMOS de Estimação de Distribuição (EDAs) compõem uma frente de pesquisa em Computação Evolutiva que tem apresentado resultados promissores para lidar com problemas complexos de larga escala. Nesse contexto, destaca-se o Algoritmo de Otimização Bayesiano (BOA) que usa um modelo probabilístico multivariado (representado por uma rede Bayesiana)
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 02/10/2012
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2. Algoritmos para o custo médio a longo prazo de sistemas com saltos markovianos parcialmente observados / Algorithms for the long run average cost for linear systems with partially observed Markov jump parameters
In this work we are interested in the optimal control for the long run average cost (LRAC) problem for linear systems with Markov jump parameters (LSMJP), using heuristic methods like first generation evolutionary algorithms - genetic algorithm (GA) - and second generation algorithms including UMDA (Univariate Marginal Distribution Algorithm) and BOA (Bayesi
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 13/08/2012
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3. A new method for determining the number of gaussians in hidden Markov models for continuos speech recognition systems / Metodo para a determinação do numero de gaussianas em modelos ocultos de Markov para sistemas de reconhecimento de fala continua
Nowadays, HMM-based speech recognition systems are used in many real time processing applications, from cell phones to auto mobile automation. In this context, one important aspect to be considered is the HMM complexity, which directly determines the system computational load. So, in order to make the system feasible for practical purposes, it is interesting
Publicado em: 2006
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4. Wurst: a protein threading server with a structural scoring function, sequence profiles and optimized substitution matrices
Wurst is a protein threading program with an emphasis on high quality sequence to structure alignments (http://www.zbh.uni-hamburg.de/wurst). Submitted sequences are aligned to each of about 3000 templates with a conventional dynamic programming algorithm, but using a score function with sophisticated structure and sequence terms. The structure terms are a l
Oxford University Press.
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5. Optimized image acquisition for breast tomosynthesis in projection and reconstruction space
Breast tomosynthesis has been an exciting new development in the field of breast imaging. While the diagnostic improvement via tomosynthesis is notable, the full potential of tomosynthesis has not yet been realized. This may be attributed to the dependency of the diagnostic quality of tomosynthesis on multiple variables, each of which needs to be optimized.
American Association of Physicists in Medicine.