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» Compositional Methods for Probabilistic Systems
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ICONIP
2009
14 years 11 months ago
Probabilistic Combination of Multiple Evidence
In pattern recognition systems, data fusion is an important issue and evidence theory is one such method that has been successful. Many researchers have proposed different rules fo...
Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonseop...
NAACL
2007
15 years 2 months ago
First-Order Probabilistic Models for Coreference Resolution
Traditional noun phrase coreference resolution systems represent features only of pairs of noun phrases. In this paper, we propose a machine learning method that enables features ...
Aron Culotta, Michael L. Wick, Andrew McCallum
ICRA
2009
IEEE
147views Robotics» more  ICRA 2009»
15 years 8 months ago
Equipping robot control programs with first-order probabilistic reasoning capabilities
— An autonomous robot system that is to act in a real-world environment is faced with the problem of having to deal with a high degree of both complexity as well as uncertainty. ...
Dominik Jain, Lorenz Mösenlechner, Michael Be...
ICCAD
2003
IEEE
148views Hardware» more  ICCAD 2003»
15 years 10 months ago
The Compositional Far Side of Image Computation
Symbolic image computation is the most fundamental computation in BDD-based sequential system optimization and formal verification. In this paper, we explore the use of over-appr...
Chao Wang, Gary D. Hachtel, Fabio Somenzi
ISNN
2004
Springer
15 years 6 months ago
Realtime Monitoring of Vascular Conditions Using a Probabilistic Neural Network
Abstract. This paper proposes a new method to discriminate the vascular conditions from biological signals by using a probabilistic neural network, and develops the diagnosis suppo...
Akira Sakane, Toshio Tsuji, Yoshiyuki Tanaka, Kenj...