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KDD
2008
ACM
167views Data Mining» more  KDD 2008»
14 years 7 months ago
A sequential dual method for large scale multi-class linear svms
Efficient training of direct multi-class formulations of linear Support Vector Machines is very useful in applications such as text classification with a huge number examples as w...
S. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang...
SI3D
2005
ACM
14 years 1 months ago
Broad-phase collision detection using semi-adjusting BSP-trees
The broad-phase step of collision detection in scenes composed of n moving objects is a challenging problem because enumerating collision pairs has an inherent O(n2) complexity. S...
Rodrigo G. Luque, João Luiz Dihl Comba, Car...
WSC
2008
13 years 9 months ago
Speeding up call center simulation and optimization by Markov chain uniformization
Staffing and scheduling optimization in large multiskill call centers is time-consuming, mainly because it requires lengthy simulations to evaluate performance measures and their ...
Eric Buist, Wyean Chan, Pierre L'Ecuyer
ICML
2010
IEEE
13 years 8 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
DISOPT
2008
91views more  DISOPT 2008»
13 years 7 months ago
Partition inequalities for capacitated survivable network design based on directed p-cycles
We study the design of capacitated survivable networks using directed p-cycles. A p-cycle is a cycle with at least three arcs, used for rerouting disrupted flow during edge failur...
Alper Atamtürk, Deepak Rajan