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AI
2001
Springer
15 years 11 months ago
Learning Bayesian Belief Network Classifiers: Algorithms and System
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
Jie Cheng, Russell Greiner
INFOCOM
1993
IEEE
15 years 10 months ago
Queueing Delays in Rate Controlled ATM Networks
This paper addresses the problem of finding the worst case end-to-end delay and buffer occupancy bounds in ATM networks with rate-controlled, non-work conserving servers. A theore...
Anindo Banerjea, Srinivasan Keshav
GCC
2003
Springer
15 years 11 months ago
An Improved Network Broadcasting Method Based on Gnutella Network
Peer-to-peer networking is a hot buzzword that has been sweeping through the computing industry over the past year or so. Gnutella, as one of the first operational pure P2P systems...
Zupeng Li, Xiubin Zhao, Daoyin Huang, Jianhua Huan...
ICMCS
2008
IEEE
118views Multimedia» more  ICMCS 2008»
16 years 1 months ago
A stochastic model of selective visual attention with a dynamic Bayesian network
Recent studies in signal detection theory suggest that the human responses to the stimuli on a visual display are nondeterministic. People may attend to different locations on the...
Derek Pang, Akisato Kimura, Tatsuto Takeuchi, Junj...
SECON
2008
IEEE
16 years 28 days ago
Analytical Study of Collaborative Information Coverage for Object Detection in Sensor Networks
—Many sensor networks are deployed for the purpose of covering and monitoring a particular region, and detecting the object of interest in the region. In this paper, based on the...
Guanqun Yang, Vinod Shukla, Daji Qiao