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» A computational model of belief
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ICML
2008
IEEE
15 years 10 months ago
On the quantitative analysis of deep belief networks
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Ruslan Salakhutdinov, Iain Murray
ECSQARU
2007
Springer
15 years 4 months ago
Shared Ordered Binary Decision Diagrams for Dempster-Shafer Theory
The binary representation is widely used for representing focal sets of Dempster-Shafer belief functions because it allows to compute efficiently all relevant operations. However, ...
Norbert Lehmann
ENGL
2007
73views more  ENGL 2007»
14 years 9 months ago
Updates Under Pstable
—Based on a recent view of Pstable models that allows talking about knowledge and beliefs of an agent, we propose an extension of the AGM postulates based on these notions. To th...
Fernando Zacarias Flores, Mauricio Osorio Galindo,...
ACL
2007
14 years 11 months ago
Constituent Parsing with Incremental Sigmoid Belief Networks
We introduce a framework for syntactic parsing with latent variables based on a form of dynamic Sigmoid Belief Networks called Incremental Sigmoid Belief Networks. We demonstrate ...
Ivan Titov, James Henderson
ICANN
2001
Springer
15 years 2 months ago
Nonlinear Adaptive Beliefs and the Dynamics of Financial Markets: The Role of the Evolutionary Fitness Measure
We introduce a simple asset pricing model with two types of adaptively learning traders, fundamentalists and technical traders. Traders update their beliefs according to past perfo...
Andrea Gaunersdorfer, Cars H. Hommes