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ICML
2010
IEEE
14 years 10 months ago
Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets
A sparse representation of Support Vector Machines (SVMs) with respect to input features is desirable for many applications. In this paper, by introducing a 0-1 control variable t...
Mingkui Tan, Li Wang, Ivor W. Tsang
AUTOMATICA
1999
145views more  AUTOMATICA 1999»
14 years 9 months ago
Control of systems integrating logic, dynamics, and constraints
This paper proposes a framework for modeling and controlling systems described by interdependent physical laws, logic rules, and operating constraints, denoted as mixed logical dy...
Alberto Bemporad, Manfred Morari
ICML
2010
IEEE
14 years 10 months ago
Boosting Classifiers with Tightened L0-Relaxation Penalties
We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...
Noam Goldberg, Jonathan Eckstein
WEA
2010
Springer
241views Algorithms» more  WEA 2010»
15 years 4 months ago
A Branch-and-Price Algorithm for Multi-mode Resource Leveling
Resource leveling is a variant of resource-constrained project scheduling in which a non-regular objective function, the resource availability cost, is to be minimized. We present ...
Eamonn T. Coughlan, Marco E. Lübbecke, Jens S...
COR
2007
176views more  COR 2007»
14 years 9 months ago
Scheduling and routing of automated guided vehicles: A hybrid approach
We propose a hybrid method designed to solve a problem of dispatching and conflict free routing of automated guided vehicles (AGVs) in a flexible manufacturing system (FMS). Thi...
Ayoub Insa Corréa, André Langevin, L...