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SODA
2008
ACM
97views Algorithms» more  SODA 2008»
13 years 9 months ago
Stochastic analyses for online combinatorial optimization problems
In this paper, we study online algorithms when the input is not chosen adversarially, but consists of draws from some given probability distribution. While this model has been stu...
Naveen Garg, Anupam Gupta, Stefano Leonardi, Piotr...
ICMCS
2006
IEEE
93views Multimedia» more  ICMCS 2006»
14 years 1 months ago
A New Joint Source-Channel Modeling Approach for Adaptive FEC Code Rate Decision
We propose a joint source-channel modeling approach for adaptively determining the quality-optimal FEC code rate. Our objective is to obtain the optimal video quality in the recei...
Yo-Won Jeong, Jae Kwon, Jae-kyoon Kim, Kyu Ho Park
KAIS
2008
221views more  KAIS 2008»
13 years 7 months ago
Forecasting skewed biased stochastic ozone days: analyses, solutions and beyond
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently, we have been approached by Texas Commission on En...
Kun Zhang, Wei Fan
ACL
2006
13 years 9 months ago
An All-Subtrees Approach to Unsupervised Parsing
We investigate generalizations of the allsubtrees "DOP" approach to unsupervised parsing. Unsupervised DOP models assign all possible binary trees to a set of sentences ...
Rens Bod
CEC
2005
IEEE
14 years 1 months ago
Incorporating a Metropolis method in a distribution estimation using Markov random field algorithm
Abstract- Markov Random Field (MRF) modelling techniques have been recently proposed as a novel approach to probabilistic modelling for Estimation of Distribution Algorithms (EDAs)...
Siddhartha Shakya, John A. W. McCall, Deryck F. Br...