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KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 6 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy
WSC
2008
13 years 8 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
IPL
1998
177views more  IPL 1998»
13 years 6 months ago
A Common-Multiplicand Method to the Montgomery Algorithm for Speeding up Exponentiation
A common-multiplicand method to the Montgomery algorithm makes an improvement in speed when the right-to-left binary exponentiation is applied. The idea is that the same common pa...
JaeCheol Ha, Sang-Jae Moon
ASIACRYPT
2008
Springer
13 years 8 months ago
Speeding Up the Pollard Rho Method on Prime Fields
Abstract. We propose a method to speed up the r-adding walk on multiplicative subgroups of the prime field. The r-adding walk is an iterating function used with the Pollard rho alg...
Jung Hee Cheon, Jin Hong, Minkyu Kim
WSDM
2009
ACM
187views Data Mining» more  WSDM 2009»
14 years 1 months ago
Speeding up algorithms on compressed web graphs
A variety of lossless compression schemes have been proposed to reduce the storage requirements of web graphs. One successful approach is virtual node compression [7], in which of...
Chinmay Karande, Kumar Chellapilla, Reid Andersen