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IOR
2006
177views more  IOR 2006»
15 years 1 months ago
Combinatorial Benders' Cuts for Mixed-Integer Linear Programming
Mixed-Integer Programs (MIP's) involving logical implications modelled through big-M coefficients, are notoriously among the hardest to solve. In this paper we propose and an...
Gianni Codato, Matteo Fischetti
PKDD
2009
Springer
138views Data Mining» more  PKDD 2009»
15 years 8 months ago
Margin and Radius Based Multiple Kernel Learning
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...
Huyen Do, Alexandros Kalousis, Adam Woznica, Melan...
CVPR
2010
IEEE
15 years 10 months ago
Online Multiclass LPBoost
Online boosting is one of the most successful online learning algorithms in computer vision. While many challenging online learning problems are inherently multi-class, online boo...
Amir Saffari, Martin Godec, Thomas Pock, Christian...
DAC
2006
ACM
15 years 8 months ago
A fast on-chip decoupling capacitance budgeting algorithm using macromodeling and linear programming
We propose a novel and efficient charge-based decoupling capacitance budgeting algorithm. Our method uses the macromodeling technique and effective radius of decoupling capacitan...
Min Zhao, Rajendran Panda, Savithri Sundareswaran,...
ATMOS
2007
163views Optimization» more  ATMOS 2007»
15 years 3 months ago
Branching Strategies to Improve Regularity of Crew Schedules in Ex-Urban Public Transit
We discuss timetables in ex-urban bus traffic that consist of many trips serviced every day together with some exceptions that do not repeat daily. Traditional optimization methods...
Ingmar Steinzen, Leena Suhl, Natalia Kliewer