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» On the Convergence of Bound Optimization Algorithms
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TON
2010
151views more  TON 2010»
15 years 1 months ago
Throughput Optimal Distributed Power Control of Stochastic Wireless Networks
The Maximum Differential Backlog (MDB) control policy of Tassiulas and Ephremides has been shown to adaptively maximize the stable throughput of multihop wireless networks with ran...
Yufang Xi, Edmund M. Yeh
IJCV
2012
13 years 9 months ago
Globally Optimal Estimation of Nonrigid Image Distortion
Abstract Image alignment in the presence of non-rigid distortions is a challenging task. Typically, this involves estimating the parameters of a dense deformation field that warps...
Yuandong Tian, Srinivasa G. Narasimhan
AAAI
2006
15 years 8 months ago
Efficient L1 Regularized Logistic Regression
L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems, particularly ones with many features. L1 regularized...
Su-In Lee, Honglak Lee, Pieter Abbeel, Andrew Y. N...
CIMCA
2008
IEEE
16 years 1 months ago
Tree Exploration for Bayesian RL Exploration
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...
Christos Dimitrakakis
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
16 years 2 days ago
Enhancing differential evolution performance with local search for high dimensional function optimization
In this paper, we proposed Fittest Individual Refinement (FIR), a crossover based local search method for Differential Evolution (DE). The FIR scheme accelerates DE by enhancing...
Nasimul Noman, Hitoshi Iba