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» Approximability of Probability Distributions
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GECCO
2008
Springer
171views Optimization» more  GECCO 2008»
15 years 8 months ago
An EDA based on local markov property and gibbs sampling
The key ideas behind most of the recently proposed Markov networks based EDAs were to factorise the joint probability distribution in terms of the cliques in the undirected graph....
Siddhartha Shakya, Roberto Santana
CORR
2006
Springer
99views Education» more  CORR 2006»
15 years 7 months ago
Statistical mechanics of neocortical interactions: Portfolio of Physiological Indicators
There are several kinds of non-invasive imaging methods that are used to collect data from the brain, e.g., EEG, MEG, PET, SPECT, fMRI, etc. It is difficult to get resolution of i...
Lester Ingber
ENTCS
2007
104views more  ENTCS 2007»
15 years 6 months ago
Exogenous Probabilistic Computation Tree Logic
We define a logic EpCTL for reasoning about the evolution of probabilistic systems. System states correspond to probability distributions over classical states and the system evo...
Pedro Baltazar, Paulo Mateus, Rajagopal Nagarajan,...
TIT
2008
127views more  TIT 2008»
15 years 6 months ago
Max-Product for Maximum Weight Matching: Convergence, Correctness, and LP Duality
Abstract--Max-product "belief propagation" (BP) is an iterative, message-passing algorithm for finding the maximum a posteriori (MAP) assignment of a discrete probability...
Mohsen Bayati, Devavrat Shah, Mayank Sharma
CORR
1999
Springer
71views Education» more  CORR 1999»
15 years 6 months ago
New Error Bounds for Solomonoff Prediction
Solomonoff sequence prediction is a scheme to predict digits of binary strings without knowing the underlying probability distribution. We call a prediction scheme informed when i...
Marcus Hutter