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JGO
2010
89views more  JGO 2010»
14 years 8 months ago
Stopping rules in k-adaptive global random search algorithms
In this paper we develop a methodology for defining stopping rules in a general class of global random search algorithms that are based on the use of statistical procedures. To bu...
Anatoly A. Zhigljavsky, Emily Hamilton
NIPS
2007
14 years 11 months ago
A Randomized Algorithm for Large Scale Support Vector Learning
This paper investigates the application of randomized algorithms for large scale SVM learning. The key contribution of the paper is to show that, by using ideas random projections...
Krishnan Kumar, Chiru Bhattacharyya, Ramesh Hariha...
IPL
2010
93views more  IPL 2010»
14 years 8 months ago
Randomized algorithms for online bounded bidding
In the online bidding problem, a bidder is trying to guess a positive number T, by placing bids until the value of the bid is at least T. The bidder is charged with the sum of the...
Leah Epstein, Asaf Levin
ISCC
2003
IEEE
153views Communications» more  ISCC 2003»
15 years 3 months ago
Fuzzy Explicit Marking for Congestion Control in Differentiated Services Networks
This paper presents a new active queue management scheme, Fuzzy Explicit Marking (FEM), implemented within the differentiated services (Diff-Serv) framework to provide congestion ...
Chrysostomos Chrysostomou, Andreas Pitsillides, Ge...
CSDA
2007
108views more  CSDA 2007»
14 years 9 months ago
Nonlinear random effects mixture models: Maximum likelihood estimation via the EM algorithm
Nonlinear random effects models with finite mixture structures are used to identify polymorphism in pharmacokinetic/ pharmacodynamic (PK/PD) phenotypes. An EM algorithm for maxim...
Xiaoning Wang, Alan Schumitzky, David Z. D'Argenio