131 search results - page 25 / 27 » Bayesian probabilistic matrix factorization using Markov cha... |
KDD
2004
ACM
14 years 8 months ago
2004
ACM
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
CORR
2006
Springer
13 years 7 months ago
2006
Springer
We present a novel approach to semisupervised learning which is based on statistical physics. Most of the former work in the field of semi-supervised learning classifies the point...
BMCBI
2006
13 years 7 months ago
2006
Background: Inference of population stratification and individual admixture from genetic markers is an integrative part of a study in diverse situations, such as association mappi...
CVPR
2000
IEEE
14 years 9 months ago
2000
IEEE
?Gibbsian fields or Markov random fields are widely used in Bayesian image analysis, but learning Gibbs models is computationally expensive. The computational complexity is pronoun...
TASLP
2008
13 years 7 months ago
2008
Abstract--We describe in this paper an audio denoising technique based on sparse linear regression with structured priors. The noisy signal is decomposed as a linear combination of...