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BMCBI
2005
178views more  BMCBI 2005»
13 years 7 months ago
A quantization method based on threshold optimization for microarray short time series
Background: Reconstructing regulatory networks from gene expression profiles is a challenging problem of functional genomics. In microarray studies the number of samples is often ...
Barbara Di Camillo, Fatima Sanchez-Cabo, Gianna To...
JCB
2006
185views more  JCB 2006»
13 years 7 months ago
Bayesian Sequential Inference for Stochastic Kinetic Biochemical Network Models
As postgenomic biology becomes more predictive, the ability to infer rate parameters of genetic and biochemical networks will become increasingly important. In this paper, we expl...
Andrew Golightly, Darren J. Wilkinson
ICIP
2006
IEEE
14 years 1 months ago
Low-Complexity Rate Control for Efficient H.263 to H.264/AVC Video Transcoding
Rate control is a complicated problem in the H.264/AVC coding standard, extra computation is usually needed for the existing rate control schemes to estimate the complexity of fra...
Chi-Wang Ho, Oscar C. Au, S.-H. Gary Chan, Shu-Kei...
CDC
2009
IEEE
189views Control Systems» more  CDC 2009»
14 years 8 days ago
Dirac mixture approximation of multivariate Gaussian densities
— For the optimal approximation of multivariate Gaussian densities by means of Dirac mixtures, i.e., by means of a sum of weighted Dirac distributions on a continuous domain, a n...
Uwe D. Hanebeck, Marco F. Huber, Vesa Klumpp
NN
2010
Springer
125views Neural Networks» more  NN 2010»
13 years 6 months ago
Parameter-exploring policy gradients
We present a model-free reinforcement learning method for partially observable Markov decision problems. Our method estimates a likelihood gradient by sampling directly in paramet...
Frank Sehnke, Christian Osendorfer, Thomas Rü...