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» Incremental Probabilistic Inference
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NIPS
2007
13 years 10 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
HIS
2004
13 years 10 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»
13 years 8 months 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
JMLR
2010
143views more  JMLR 2010»
13 years 3 months ago
Beware of the DAG!
Directed acyclic graph (DAG) models are popular tools for describing causal relationships and for guiding attempts to learn them from data. In particular, they appear to supply a ...
A. Philip Dawid
ICDE
2012
IEEE
205views Database» more  ICDE 2012»
11 years 11 months ago
Optimizing Statistical Information Extraction Programs over Evolving Text
—Statistical information extraction (IE) programs are increasingly used to build real-world IE systems such as Alibaba, CiteSeer, Kylin, and YAGO. Current statistical IE approach...
Fei Chen, Xixuan Feng, Christopher Re, Min Wang