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» First-order probabilistic inference
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105
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ETFA
2006
IEEE
15 years 6 months ago
Advance in Multiply Sectioned Bayesian Networks: Sensor Network Practitioners' Perspective
Multiplysectioned Bayesian networks provide a probabilistic framework for reasoning about uncertain domains in cooperative multiagent systems. Several advances have been made in r...
Y. Xiang, K. Zhang
SCVMA
2004
Springer
15 years 5 months ago
A Generative Model of Dense Optical Flow in Layers
We introduce a generative model of dense flow fields within a layered representation of 3-dimensional scenes. Using probabilistic inference and learning techniques (namely, varia...
Anitha Kannan, Brendan J. Frey, Nebojsa Jojic
96
Voted
NIPS
2007
15 years 2 months ago
Agreement-Based Learning
The learning of probabilistic models with many hidden variables and nondecomposable dependencies is an important and challenging problem. In contrast to traditional approaches bas...
Percy Liang, Dan Klein, Michael I. Jordan
112
Voted
HIS
2004
15 years 1 months ago
Neural Networks and Belief Logic
Many researchers have observed that neurons process information in an imprecise manner - if a logical inference emerges from neural computation, it is inexact at best. Thus, there...
Yuan Yan Chen, Joseph J. Chen
APIN
2000
155views more  APIN 2000»
15 years 12 days ago
Defeasible Logic on an Embedded Microcontroller
Defeasible logic is a system of reasoning in which rules have exceptions, and when rules conflict, the one that applies most specifically to the situation wins out. This paper repo...
Michael A. Covington