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» Incremental Probabilistic Inference
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IPSN
2005
Springer
16 years 21 days ago
A robust architecture for distributed inference in sensor networks
— Many inference problems that arise in sensor networks require the computation of a global conclusion that is consistent with local information known to each node. A large class...
Mark A. Paskin, Carlos Guestrin, Jim McFadden
AI
2011
Springer
14 years 10 months ago
Parallelizing a Convergent Approximate Inference Method
Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...
Ming Su, Elizabeth Thompson
AAAI
2012
13 years 9 months ago
Exact Lifted Inference with Distinct Soft Evidence on Every Object
The presence of non-symmetric evidence has been a barrier for the application of lifted inference since the evidence destroys the symmetry of the first-order probabilistic model....
Hung B. Bui, Tuyen N. Huynh, Rodrigo de Salvo Braz
IDA
2005
Springer
16 years 21 days ago
Combining Bayesian Networks with Higher-Order Data Representations
Abstract. This paper introduces Higher-Order Bayesian Networks, a probabilistic reasoning formalism which combines the efficient reasoning mechanisms of Bayesian Networks with the...
Elias Gyftodimos, Peter A. Flach
MMM
2007
Springer
135views Multimedia» more  MMM 2007»
16 years 1 months ago
Ontology-Based Annotation of Paintings Using Transductive Inference Framework
Domain-specific knowledge of paintings defines a wide range of concepts for annotation and flexible retrieval of paintings. In this work, we employ the ontology of artistic concept...
Yelizaveta Marchenko, Tat-Seng Chua, Ramesh Jain