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» Skeleton based performance prediction on shared networks
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CCE
2006
15 years 6 months ago
Bayesian-based on-line applicability evaluation of neural network models in modeling automotive paint spray operations
The neural network (NN) models well trained and validated by the same data may exhibit noticeably different predictabilities in applications. This is mainly due to the fact that t...
Jia Li, Yinlun Huang
SC
2005
ACM
15 years 11 months ago
Performance Modeling and Tuning Strategies of Mixed Mode Collective Communications
On SMP clusters, mixed mode collective MPI communications, which use shared memory communications within SMP nodes and point-to-point communications between SMP nodes, are more eï...
Meng-Shiou Wu, Ricky A. Kendall, Kyle Wright, Zhao...
CIMCA
2008
IEEE
16 years 22 days ago
Deploying Neural-Network-Based Models for Dynamic Pricing in Supply Chain Management
With the advent of e-Commerce, enterprises can no longer rely on static business strategies. They have to be able to cope in dynamic and uncertain electronic environments, especia...
Yevgeniya Kovalchuk, Maria Fasli
HPCA
2008
IEEE
16 years 6 months ago
Single-level integrity and confidentiality protection for distributed shared memory multiprocessors
Multiprocessor computer systems are currently widely used in commercial settings to run critical applications. These applications often operate on sensitive data such as customer ...
Brian Rogers, Chenyu Yan, Siddhartha Chhabra, Milo...
ISNN
2010
Springer
15 years 4 months ago
MULP: A Multi-Layer Perceptron Application to Long-Term, Out-of-Sample Time Series Prediction
Abstract. A forecasting approach based on Multi-Layer Perceptron (MLP) Artificial Neural Networks (named by the authors MULP) is proposed for the NN5 111 time series long-term, out...
Eros Pasero, Giovanni Raimondo, Suela Ruffa