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» The Tradeoffs of Large Scale Learning
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CF
2007
ACM
13 years 12 months ago
By-passing the out-of-order execution pipeline to increase energy-efficiency
Out-of-order execution significantly increases the performance of superscalar processors. The out-of-order execution mechanism is, however, energy-inefficient, which inhibits scal...
Hans Vandierendonck, Philippe Manet, Thibault Dela...
EOR
2010
149views more  EOR 2010»
13 years 8 months ago
Adaptive multicut aggregation for two-stage stochastic linear programs with recourse
Outer linearization methods for two-stage stochastic linear programs with recourse, such as the L-shaped algorithm, generally apply a single optimality cut on the nonlinear object...
Svyatoslav Trukhanov, Lewis Ntaimo, Andrew Schaefe...
NIPS
2001
13 years 9 months ago
On the Generalization Ability of On-Line Learning Algorithms
In this paper, it is shown how to extract a hypothesis with small risk from the ensemble of hypotheses generated by an arbitrary on-line learning algorithm run on an independent an...
Nicolò Cesa-Bianchi, Alex Conconi, Claudio ...
ITC
2002
IEEE
81views Hardware» more  ITC 2002»
14 years 24 days ago
Design Rewiring Using ATPG
—Logic optimization is the step of the very large scale integration (VLSI) design cycle where the designer performs modifications on a design to satisfy different constraints suc...
Andreas G. Veneris, Magdy S. Abadir, Mandana Amiri
ICML
2007
IEEE
14 years 8 months ago
Multiclass core vector machine
Even though several techniques have been proposed in the literature for achieving multiclass classification using Support Vector Machine(SVM), the scalability aspect of these appr...
S. Asharaf, M. Narasimha Murty, Shirish Krishnaj S...