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COLT
2008
Springer
13 years 10 months ago
More Efficient Internal-Regret-Minimizing Algorithms
Standard no-internal-regret (NIR) algorithms compute a fixed point of a matrix, and hence typically require O(n3 ) run time per round of learning, where n is the dimensionality of...
Amy R. Greenwald, Zheng Li, Warren Schudy
WSC
2004
13 years 10 months ago
Enabling a Transforming Army at War: Analysis to Improve Logistics Network Efficiency and Effectiveness
This paper introduces and summarizes a comprehensive systems approach guiding an ongoing project addressing these significant challenges confronting logistics transformation. Curr...
Greg H. Parlier
SIGCOMM
2010
ACM
13 years 9 months ago
Efficient error estimating coding: feasibility and applications
Motivated by recent emerging systems that can leverage partially correct packets in wireless networks, this paper investigates the novel concept of error estimating codes (EEC). W...
Binbin Chen, Ziling Zhou, Yuda Zhao, Haifeng Yu
JAIR
2006
143views more  JAIR 2006»
13 years 8 months ago
Convexity Arguments for Efficient Minimization of the Bethe and Kikuchi Free Energies
Loopy and generalized belief propagation are popular algorithms for approximate inference in Markov random fields and Bayesian networks. Fixed points of these algorithms have been...
Tom Heskes
GPEM
2000
121views more  GPEM 2000»
13 years 8 months ago
Bayesian Methods for Efficient Genetic Programming
ct. A Bayesian framework for genetic programming GP is presented. This is motivated by the observation that genetic programming iteratively searches populations of fitter programs ...
Byoung-Tak Zhang