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INFOCOM
2007
IEEE
15 years 5 months ago
Adaptive Max-Min Fair Scheduling in Buffered Crossbar Switches Without Speedup
— A good crossbar switch scheduler should be able to achieve 100% throughput and maintain fairness among competing flows. A pure input-queued (IQ) non-buffered switch requires a...
Xiao Zhang, Satya Ranjan Mohanty, Laxmi N. Bhuyan
UM
2007
Springer
15 years 5 months ago
Eliciting Motivation Knowledge from Log Files Towards Motivation Diagnosis for Adaptive Systems
Motivation is well-known for its importance in learning and its influence on cognitive processes. Adaptive systems would greatly benefit from having a user model of the learner’s...
Mihaela Cocea, Stephan Weibelzahl
ESCIENCE
2006
IEEE
15 years 5 months ago
Adapting and Evaluating Commercial Workflow Engines for e-Science
Numerous Grid workflow engines exist, each generally specialized for a single application domain such as protein folding. Although the underlying purpose and functionality of the ...
Sharanya Eswaran, David Del Vecchio, Glenn S. Wass...
SOFSEM
2004
Springer
15 years 4 months ago
Fuzzy Group Models for Adaptation in Cooperative Information Retrieval Contexts
Cooperation in information retrieval contexts can be used to share query results inside groups of individuals with common objectives, provided that all of them are aware of each ot...
Miguel Ángel Sicilia Urbán, Elena Ga...
AAAI
2008
15 years 1 months ago
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiya...