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IPPS
2007
IEEE
14 years 1 months ago
Message Routing and Scheduling in Optical Multistage Networks using Bayesian Inference method on AI algorithms
Optical Multistage Interconnection Networks (MINs) suffer from optical-loss during switching and crosstalk problem in the switches. The crosstalk problem is solved by routing mess...
Ajay K. Katangur, Somasheker Akkaladevi
INFOCOM
2010
IEEE
13 years 6 months ago
Cooperative Boundary Detection for Spectrum Sensing Using Dedicated Wireless Sensor Networks
Abstract—Spectrum sensing is one of the key enabling technologies in Cognitive Radio Networks (CRNs). In CRNs, secondary users (SUs) are allowed to exploit the spectrum opportuni...
Yanyan Yang, Yunhuai Liu, Qian Zhang, Lionel M. Ni
AAAI
2006
13 years 9 months ago
Solving MAP Exactly by Searching on Compiled Arithmetic Circuits
The MAP (maximum a posteriori hypothesis) problem in Bayesian networks is to find the most likely states of a set of variables given partial evidence on the complement of that set...
Jinbo Huang, Mark Chavira, Adnan Darwiche
ISORC
2007
IEEE
14 years 1 months ago
LSynD: Localized Synopsis Diffusion
Wireless sensor networks represent an extremely fastgrowing emerging technology, but still suffer from several limitations. The state of the art in sensor networks focuses on opti...
Andreea Berfield, Panos K. Chrysanthis, Daniel Mos...
EDM
2010
165views Data Mining» more  EDM 2010»
13 years 9 months ago
Using a Bayesian Knowledge Base for Hint Selection on Domain Specific Problems
A Bayesian Knowledge Base is a generalization of traditional Bayesian Networks where nodes or groups of nodes have independence. In this paper we describe a method of generating a ...
John C. Stamper, Tiffany Barnes, Marvin J. Croy