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» Probability and Equality: A Probabilistic Model of Identity ...
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FSS
2008
87views more  FSS 2008»
13 years 7 months ago
Representing parametric probabilistic models tainted with imprecision
Numerical possibility theory, belief function have been suggested as useful tools to represent imprecise, vague or incomplete information. They are particularly appropriate in unc...
Cédric Baudrit, Didier Dubois, Nathalie Per...
IPSN
2005
Springer
14 years 1 months ago
Lazy inference on object identities in wireless sensor networks
Tracking the identities of moving objects is an important aspect of most multi-object tracking applications. Uncertainty in sensor data, coupled with the intrinsic difficulty of ...
Jaewon Shin, Nelson Lee, Sebastian Thrun, Leonidas...
SIGIR
1998
ACM
13 years 11 months ago
Modeling and Combining Evidence Provided by Document Relationships Using Probabilistic Argumentation Systems
Previous research has shown that hypertext links may be a useful source of evidence for document contents and relevance, but these evidence are rather difficult to represent and co...
Justin Picard
JMLR
2010
111views more  JMLR 2010»
13 years 2 months ago
An EM Algorithm on BDDs with Order Encoding for Logic-based Probabilistic Models
Logic-based probabilistic models (LBPMs) enable us to handle problems with uncertainty succinctly thanks to the expressive power of logic. However, most of LBPMs have restrictions...
Masakazu Ishihata, Yoshitaka Kameya, Taisuke Sato,...
ECSQARU
2005
Springer
14 years 1 months ago
Conditional Deduction Under Uncertainty
Conditional deduction in binary logic basically consists of deriving new statements from an existing set of statements and conditional rules. Modus Ponens, which is the classical e...
Audun Jøsang, Simon Pope, Milan Daniel