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» Using Bayesian Networks to Model Agent Relationships
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AAAI
2011
13 years 10 months ago
Exploiting Phase Transition in Latent Networks for Clustering
In this paper, we model the pair-wise similarities of a set of documents as a weighted network with a single cutoff parameter. Such a network can be thought of an ensemble of unwe...
Vahed Qazvinian, Dragomir R. Radev
DCOSS
2006
Springer
15 years 1 months ago
Agimone: Middleware Support for Seamless Integration of Sensor and IP Networks
The scope of wireless sensor network (WSN) applications has traditionally been restricted by physical sensor coverage and limited computational power. Meanwhile, IP networks like t...
Gregory Hackmann, Chien-Liang Fok, Gruia-Catalin R...
LOGCOM
2007
115views more  LOGCOM 2007»
14 years 9 months ago
The Dynamics of Syntactic Knowledge
The syntactic approach to epistemic logic avoids the logical omniscience problem by taking knowledge as primary rather than as defined in terms of possible worlds. In this study, ...
Thomas Ågotnes, Natasha Alechina
RECOMB
2010
Springer
14 years 8 months ago
Predicting Nucleosome Positioning Using Multiple Evidence Tracks
Abstract. We describe a probabilistic model, implemented as a dynamic Bayesian network, that can be used to predict nucleosome positioning along a chromosome based on one or more g...
Sheila M. Reynolds, Zhiping Weng, Jeff A. Bilmes, ...
KES
2006
Springer
14 years 10 months ago
Symbiotic Sensor Networks in Complex Underwater Terrains: A Simulation Framework
Abstract. This paper presents a new multi-agent physics-based simulation framework (DISCOVERY), supporting experiments with self-organizing underwater sensor and actuator networks....
Vadim Gerasimov, Gerry Healy, Mikhail Prokopenko, ...