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» Propositional belief merging and belief negotiation model
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CIKM
2001
Springer
13 years 12 months ago
Merging Techniques for Performing Data Fusion on the Web
Data fusion on the Web refers to the merging, into a unified single list, of the ranked document lists, which are retrieved in response to a user query by more than one Web search...
Theodora Tsikrika, Mounia Lalmas
JMLR
2012
11 years 10 months ago
Online Incremental Feature Learning with Denoising Autoencoders
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Guanyu Zhou, Kihyuk Sohn, Honglak Lee
NSPW
2004
ACM
14 years 27 days ago
A collaborative approach to autonomic security protocols
This paper considers a new security protocol paradigm whereby principals negotiate and on-the-fly generate security protocols according to their needs. When principals wish to in...
Hongbin Zhou, Simon N. Foley
AAAI
2011
12 years 7 months ago
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
Chloe Kiddon, Pedro Domingos
SAT
2005
Springer
145views Hardware» more  SAT 2005»
14 years 28 days ago
A New Approach to Model Counting
We introduce ApproxCount, an algorithm that approximates the number of satisfying assignments or models of a formula in propositional logic. Many AI tasks, such as calculating degr...
Wei Wei, Bart Selman