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181
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ESANN
2001
15 years 7 months ago
A divide-and-conquer learning architecture for predicting unknown motion
Time varying environments or model selection problems lead to crucial dilemmas in identification and control science. In this paper, we propose a modular prediction scheme consisti...
Patrice Wira, Jean-Philippe Urban, Julien Gresser
CLUSTER
2003
IEEE
15 years 11 months ago
Run-Time Prediction of Parallel Applications on Shared Environments
Application run-time information is a fundamental component in application and job scheduling. However, accurate predictions of run times are difficult to achieve for parallel app...
Byoung-Dai Lee, Jennifer M. Schopf
175
Voted
ISCA
2007
IEEE
115views Hardware» more  ISCA 2007»
16 years 13 days ago
VPC prediction: reducing the cost of indirect branches via hardware-based dynamic devirtualization
Indirect branches have become increasingly common in modular programs written in modern object-oriented languages and virtualmachine based runtime systems. Unfortunately, the pred...
Hyesoon Kim, José A. Joao, Onur Mutlu, Chan...
162
Voted
AAAI
2006
15 years 7 months ago
Improving Approximate Value Iteration Using Memories and Predictive State Representations
Planning in partially-observable dynamical systems is a challenging problem, and recent developments in point-based techniques such as Perseus significantly improve performance as...
Michael R. James, Ton Wessling, Nikos A. Vlassis
193
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MASS
2010
172views Communications» more  MASS 2010»
15 years 4 months ago
Routing and spectrum allocation for video on-demand streaming in cognitive wireless mesh networks
Cognitive radio, which enables dynamic access of under-utilized licensed spectrums, is a promising technology for more efficient spectrum utilization. Since cognitive radio enables...
Yong Ding, Li Xiao