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JMLR
2010
145views more  JMLR 2010»
15 years 1 months ago
Parallelizable Sampling of Markov Random Fields
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
James Martens, Ilya Sutskever
JMLR
2010
134views more  JMLR 2010»
15 years 1 months ago
Inference of Graphical Causal Models: Representing the Meaningful Information of Probability Distributions
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
Jan Lemeire, Kris Steenhaut
JNSM
2010
86views more  JNSM 2010»
15 years 1 months ago
QoS Control for NGN: A Survey of Techniques
This article presents an overview of standards and a survey of recent work on QoS control of next generation networks (NGNs). We outline primarily standardized QoS control architec...
Changho Yun, Harry Perros
JOCN
2010
66views more  JOCN 2010»
15 years 1 months ago
fMRI Activation during Observation of Others' Reach Errors
When exposed to novel dynamical conditions (e.g., externally imposed forces), neurologically intact subjects easily adjust motor commands on the basis of their own reaching errors...
Nicole Malfait, Kenneth F. Valyear, Jody C. Culham...
JOCN
2010
117views more  JOCN 2010»
15 years 1 months ago
The Neural Substrates and Timing of Top-Down Processes during Coarse-to-Fine Categorization of Visual Scenes: A Combined fMRI an
Spatial frequencies in an image influence visual analysis across a distributed, hierarchically organized brain network. Low spatial frequency (LSF) information may rapidly reach h...
Carole Peyrin, Christoph M. Michel, Sophie Schwart...