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IFIP
2005
Springer
15 years 11 months ago
Multi-Stage Stochastic Electricity Portfolio Optimization in Liberalized Energy Markets
In this paper we analyze the electricity portfolio problem of a big consumer in a multi-stage stochastic programming framework. Stochasticity enters the model via the uncertain spo...
Ronald Hochreiter, Georg Ch. Pflug, David Wozabal
CICLING
2003
Springer
15 years 11 months ago
Per-node Optimization of Finite-State Mechanisms for Natural Language Processing
Finite-state processing is typically based on structures that allow for efficient indexing and sequential search. However, this “rigid” framework has several disadvantages when...
Alexander Troussov, Brian O'Donovan, Seppo Koskenn...
ECCV
2010
Springer
15 years 7 months ago
Fast Optimization for Mixture Prior Models
Abstract. We consider the minimization of a smooth convex function regularized by the mixture of prior models. This problem is generally difficult to solve even each simpler regula...
Junzhou Huang, Shaoting Zhang, Dimitris N. Metaxas
PR
2010
163views more  PR 2010»
15 years 4 months ago
Optimal feature selection for support vector machines
Selecting relevant features for Support Vector Machine (SVM) classifiers is important for a variety of reasons such as generalization performance, computational efficiency, and ...
Minh Hoai Nguyen, Fernando De la Torre
ICCAD
2006
IEEE
103views Hardware» more  ICCAD 2006»
16 years 3 months ago
A statistical framework for post-silicon tuning through body bias clustering
Adaptive body biasing (ABB) is a powerful technique that allows post-silicon tuning of individual manufactured dies such that each die optimally meets the delay and power constrai...
Sarvesh H. Kulkarni, Dennis Sylvester, David Blaau...