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» The Tradeoffs of Large Scale Learning
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UAI
2008
13 years 9 months ago
Model-Based Bayesian Reinforcement Learning in Large Structured Domains
Model-based Bayesian reinforcement learning has generated significant interest in the AI community as it provides an elegant solution to the optimal exploration-exploitation trade...
Stéphane Ross, Joelle Pineau
ISCA
2010
IEEE
314views Hardware» more  ISCA 2010»
14 years 26 days ago
Energy-performance tradeoffs in processor architecture and circuit design: a marginal cost analysis
Power consumption has become a major constraint in the design of processors today. To optimize a processor for energyefficiency requires an examination of energy-performance trade...
Omid Azizi, Aqeel Mahesri, Benjamin C. Lee, Sanjay...
ICES
2010
Springer
277views Hardware» more  ICES 2010»
13 years 5 months ago
An Efficient, High-Throughput Adaptive NoC Router for Large Scale Spiking Neural Network Hardware Implementations
Recently, a reconfigurable and biologically inspired paradigm based on network-on-chip (NoC) and spiking neural networks (SNNs) has been proposed as a new method of realising an ef...
Snaider Carrillo, Jim Harkin, Liam McDaid, Sandeep...
INFOCOM
2007
IEEE
14 years 2 months ago
Distributed Placement of Service Facilities in Large-Scale Networks
Abstract— The effectiveness of service provisioning in largescale networks is highly dependent on the number and location of service facilities deployed at various hosts. The cla...
Nikolaos Laoutaris, Georgios Smaragdakis, Konstant...
AAAI
2006
13 years 9 months ago
Large Scale Knowledge Base Systems: An Empirical Evaluation Perspective
In this paper, we discuss how our work on evaluating Semantic Web knowledge base systems (KBSs) contributes to address some broader AI problems. First, we show how our approach pr...
Yuanbo Guo, Abir Qasem, Jeff Heflin