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JANCL
2008
109views more  JANCL 2008»
13 years 8 months ago
Conditionalization and total knowledge
This paper employs epistemic logic to investigate the philosophical foundations of Bayesian updating in belief revision. By Bayesian updating, we understand the tenet that an agen...
Ian Pratt-Hartmann
MM
2005
ACM
140views Multimedia» more  MM 2005»
14 years 1 months ago
Topic transition detection using hierarchical hidden Markov and semi-Markov models
In this paper we introduce a probabilistic framework to exploit hierarchy, structure sharing and duration information for topic transition detection in videos. Our probabilistic d...
Dinh Q. Phung, Thi V. Duong, Svetha Venkatesh, Hun...
ICDM
2006
IEEE
116views Data Mining» more  ICDM 2006»
14 years 2 months ago
Entity Resolution with Markov Logic
Entity resolution is the problem of determining which records in a database refer to the same entities, and is a crucial and expensive step in the data mining process. Interest in...
Parag Singla, Pedro Domingos
ICML
2005
IEEE
14 years 9 months ago
Learning the structure of Markov logic networks
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. In this pap...
Stanley Kok, Pedro Domingos
ASIAN
2007
Springer
126views Algorithms» more  ASIAN 2007»
14 years 2 months ago
Computational Semantics for Basic Protocol Logic - A Stochastic Approach
Abstract. This paper is concerned about relating formal and computational models of cryptography in case of active adversaries when formal security analysis is done with first ord...
Gergei Bana, Koji Hasebe, Mitsuhiro Okada