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KDD
2008
ACM
167views Data Mining» more  KDD 2008»
15 years 11 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
15 years 4 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
15 years 26 days 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
14 years 11 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»
14 years 10 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