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» Aggregating Learned Probabilistic Beliefs
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TARK
2007
Springer
15 years 3 months ago
Judgment aggregation and the problem of truth-tracking
The problem of the aggregation of consistent individual judgments on logically interconnected propositions into a collective judgment on the same propositions has recently drawn m...
Gabriella Pigozzi, Stephan Hartmann
KDD
2004
ACM
207views Data Mining» more  KDD 2004»
15 years 10 months ago
Belief state approaches to signaling alarms in surveillance systems
Surveillance systems have long been used to monitor industrial processes and are becoming increasingly popular in public health and anti-terrorism applications. Most early detecti...
Kaustav Das, Andrew W. Moore, Jeff G. Schneider
ICDAR
2007
IEEE
15 years 3 months ago
Fast Lexicon-Based Scene Text Recognition with Sparse Belief Propagation
Using a lexicon can often improve character recognition under challenging conditions, such as poor image quality or unusual fonts. We propose a flexible probabilistic model for c...
Jerod J. Weinman, Erik G. Learned-Miller, Allen R....
METMBS
2003
255views Mathematics» more  METMBS 2003»
14 years 11 months ago
Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery
Causal Probabilistic Networks (CPNs), (a.k.a. Bayesian Networks, or Belief Networks) are well-established representations in biomedical applications such as decision support system...
Constantin F. Aliferis, Ioannis Tsamardinos, Alexa...
NECO
2008
170views more  NECO 2008»
14 years 9 months ago
Representational Power of Restricted Boltzmann Machines and Deep Belief Networks
Deep Belief Networks (DBN) are generative neural network models with many layers of hidden explanatory factors, recently introduced by Hinton et al., along with a greedy layer-wis...
Nicolas Le Roux, Yoshua Bengio