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HPCA
2007
IEEE
15 years 10 months ago
Exploiting Postdominance for Speculative Parallelization
Task-selection policies are critical to the performance of any architecture that uses speculation to extract parallel tasks from a sequential thread. This paper demonstrates that ...
Mayank Agarwal, Kshitiz Malik, Kevin M. Woley, Sam...
ESANN
2001
14 years 11 months ago
Learning fault-tolerance in Radial Basis Function Networks
This paper describes a method of supervised learning based on forward selection branching. This method improves fault tolerance by means of combining information related to general...
Xavier Parra, Andreu Català
JMLR
2008
159views more  JMLR 2008»
14 years 9 months ago
Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies
When monitoring spatial phenomena, which can often be modeled as Gaussian processes (GPs), choosing sensor locations is a fundamental task. There are several common strategies to ...
Andreas Krause, Ajit Paul Singh, Carlos Guestrin
73
Voted
EOR
2006
103views more  EOR 2006»
14 years 9 months ago
Exact solutions to a class of stochastic generalized assignment problems
This paper deals with a stochastic Generalized Assignment Problem with recourse. Only a random subset of the given set of jobs will require to be actually processed. An assignment...
Maria Albareda-Sambola, Maarten H. van der Vlerk, ...
NIPS
2004
14 years 11 months ago
Instance-Specific Bayesian Model Averaging for Classification
Classification algorithms typically induce population-wide models that are trained to perform well on average on expected future instances. We introduce a Bayesian framework for l...
Shyam Visweswaran, Gregory F. Cooper