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VEE
2012
ACM
255views Virtualization» more  VEE 2012»
13 years 5 months ago
Adding dynamically-typed language support to a statically-typed language compiler: performance evaluation, analysis, and tradeof
Applications written in dynamically typed scripting languages are increasingly popular for Web software development. Even on the server side, programmers are using dynamically typ...
Kazuaki Ishizaki, Takeshi Ogasawara, José G...
BMCBI
2005
87views more  BMCBI 2005»
14 years 9 months ago
Efficient decoding algorithms for generalized hidden Markov model gene finders
Background: The Generalized Hidden Markov Model (GHMM) has proven a useful framework for the task of computational gene prediction in eukaryotic genomes, due to its flexibility an...
William H. Majoros, Mihaela Pertea, Arthur L. Delc...
CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
16 years 5 months ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 4 months ago
Learning noise
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
Michael D. Schmidt, Hod Lipson
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
15 years 4 months ago
Cross entropy and adaptive variance scaling in continuous EDA
This paper deals with the adaptive variance scaling issue in continuous Estimation of Distribution Algorithms. A phenomenon is discovered that current adaptive variance scaling me...
Yunpeng Cai, Xiaomin Sun, Hua Xu, Peifa Jia