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PR
2011
13 years 4 months ago
A variational Bayesian methodology for hidden Markov models utilizing Student's-t mixtures
The Student’s-t hidden Markov model (SHMM) has been recently proposed as a robust to outliers form of conventional continuous density hidden Markov models, trained by means of t...
Sotirios Chatzis, Dimitrios I. Kosmopoulos
PLDI
2010
ACM
14 years 2 months ago
A GPGPU compiler for memory optimization and parallelism management
This paper presents a novel optimizing compiler for general purpose computation on graphics processing units (GPGPU). It addresses two major challenges of developing high performa...
Yi Yang, Ping Xiang, Jingfei Kong, Huiyang Zhou
GECCO
2010
Springer
186views Optimization» more  GECCO 2010»
13 years 10 months ago
Genetic rule extraction optimizing brier score
Most highly accurate predictive modeling techniques produce opaque models. When comprehensible models are required, rule extraction is sometimes used to generate a transparent mod...
Ulf Johansson, Rikard König, Lars Niklasson
SAC
2004
ACM
14 years 2 months ago
An optimized approach for KNN text categorization using P-trees
The importance of text mining stems from the availability of huge volumes of text databases holding a wealth of valuable information that needs to be mined. Text categorization is...
Imad Rahal, William Perrizo
CDC
2010
IEEE
136views Control Systems» more  CDC 2010»
13 years 4 months ago
A distributed Newton method for Network Utility Maximization
Most existing work uses dual decomposition and subgradient methods to solve Network Utility Maximization (NUM) problems in a distributed manner, which suffer from slow rate of con...
Ermin Wei, Asuman E. Ozdaglar, Ali Jadbabaie