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IJPRAI
2006
78views more  IJPRAI 2006»
14 years 9 months ago
The Unexpected Aspects of Surprise
Some symbolic AI models for example BDI (belief, desire, intention) models are conceived as explicit and operational models of the intentional pursuit and belief dynamics. The mai...
Emiliano Lorini, Cristiano Castelfranchi
CVPR
2010
IEEE
15 years 6 months ago
A Constant-Space Belief Propagation Algorithm for Stereo Matching
In this paper, we consider the problem of stereo matching using loopy belief propagation. Unlike previous methods which focus on the original spatial resolution, we hierarchically...
Qingxiong Yang, Liang Wang, Narendra Ahuja
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 1 months ago
Indirect co-evolution for understanding belief in an incomplete information dynamic game
This study aims to design a new co-evolution algorithm, Mixture Co-evolution which enables modeling of integration and composition of direct co-evolution and indirect coevolution....
Nanlin Jin
NIPS
2007
14 years 11 months ago
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes
We show how to use unlabeled data and a deep belief net (DBN) to learn a good covariance kernel for a Gaussian process. We first learn a deep generative model of the unlabeled da...
Ruslan Salakhutdinov, Geoffrey E. Hinton
MICAI
2005
Springer
15 years 3 months ago
Directed Cycles in Bayesian Belief Networks: Probabilistic Semantics and Consistency Checking Complexity
Although undirected cycles in directed graphs of Bayesian belief networks have been thoroughly studied, little attention has so far been given to a systematic analysis of directed ...
Alexander L. Tulupyev, Sergey I. Nikolenko