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» A Structural Analysis of Network Delay
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135
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ECAI
2008
Springer
15 years 5 months ago
An Analysis of Bayesian Network Model-Approximation Techniques
Abstract. Two approaches have been used to perform approximate inference in Bayesian networks for which exact inference is infeasible: employing an approximation algorithm, or appr...
Adamo Santana, Gregory M. Provan
124
Voted
ICDCS
1995
IEEE
15 years 7 months ago
A Competitive Analysis for Retransmission Timeout
Protocols that provide reliable communicationon top of a network that can lose packets rely on periodically retransmitting packets. The choice of retransmission timeout critically...
Shlomi Dolev, Michael Kate, Jennifer L. Welch
128
Voted
ML
2006
ACM
142views Machine Learning» more  ML 2006»
15 years 3 months ago
The max-min hill-climbing Bayesian network structure learning algorithm
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....
133
Voted
IJACTAICIT
2010
121views more  IJACTAICIT 2010»
14 years 10 months ago
Separation and Equalization of Cross-Coupled Signals by Adaptive Cancellation
This paper describes an adaptive noise cancellation structure suitable for the separation and equalization of signals that coupled due to the approximate placing of primary and au...
Manal Jamil Al-Kindi
119
Voted
DAC
1996
ACM
15 years 7 months ago
Glitch Analysis and Reduction in Register Transfer Level
: We presentdesign-for-low-power techniques based on glitch reduction for register-transfer level circuits. We analyze the generation and propagation of glitches in both the contro...
Anand Raghunathan, Sujit Dey, Niraj K. Jha