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ESA
2006
Springer
109views Algorithms» more  ESA 2006»
13 years 11 months ago
Multiline Addressing by Network Flow
We consider an optimization problem arising in the design of controllers for OLED displays. Our objective is to minimize amplitude of the electrical current through the diodes whic...
Friedrich Eisenbrand, Andreas Karrenbauer, Martin ...
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
14 years 1 months ago
Using pair approximations to predict takeover dynamics in spatially structured populations
The topological properties of a network directly impact the flow of information through a system. For example, in natural populations, the network of inter-individual contacts aff...
Joshua L. Payne, Margaret J. Eppstein
SDM
2008
SIAM
150views Data Mining» more  SDM 2008»
13 years 9 months ago
A Stagewise Least Square Loss Function for Classification
This paper presents a stagewise least square (SLS) loss function for classification. It uses a least square form within each stage to approximate a bounded monotonic nonconvex los...
Shuang-Hong Yang, Bao-Gang Hu
DATE
2002
IEEE
87views Hardware» more  DATE 2002»
14 years 22 days ago
Model Reduction in the Time-Domain Using Laguerre Polynomials and Krylov Methods
We present a new passive model reduction algorithm based on the Laguerre expansion of the time response of interconnect networks. We derive expressions for the Laguerre coefficie...
Yiran Chen, Venkataramanan Balakrishnan, Cheng-Kok...
CORR
2010
Springer
152views Education» more  CORR 2010»
13 years 7 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná