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» Bayesian Analysis for Simulation Input and Output
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91
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WSC
2000
15 years 1 months ago
Model abstraction for discrete event systems using neural networks and sensitivity information
STRACTION FOR DISCRETE EVENT SYSTEMS USING NEURAL NETWORKS AND SENSITIVITY INFORMATION Christos G. Panayiotou Christos G. Cassandras Department of Manufacturing Engineering Boston ...
Christos G. Panayiotou, Christos G. Cassandras, We...
104
Voted
SBCCI
2005
ACM
123views VLSI» more  SBCCI 2005»
15 years 6 months ago
Fault tolerance overhead in network-on-chip flow control schemes
Flow control mechanisms in Network-on-Chip (NoC) architectures are critical for fast packet propagation across the network and for low idling of network resources. Buffer manageme...
Antonio Pullini, Federico Angiolini, Davide Bertoz...
NIPS
1992
15 years 1 months ago
Some Solutions to the Missing Feature Problem in Vision
In visual processing the ability to deal with missing and noisy information is crucial. Occlusions and unreliable feature detectors often lead to situations where little or no dir...
Subutai Ahmad, Volker Tresp
NPL
2002
145views more  NPL 2002»
15 years 3 days ago
Hybrid Feedforward Neural Networks for Solving Classification Problems
A novel multistage feedforward network is proposed for efficient solving of difficult classification tasks. The standard Radial Basis Functions (RBF) architecture is modified in or...
Iulian B. Ciocoiu
80
Voted
ISI
2004
Springer
15 years 5 months ago
Semantic Analysis for Monitoring Insider Threats
Malicious insiders’ difficult-to-detect activities pose serious threats to the intelligence community (IC) when these activities go undetected. A novel approach that integrates ...
Svetlana Symonenko, Elizabeth D. Liddy, Ozgur Yilm...