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» The Rate of Convergence of AdaBoost
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TIT
2011
134views more  TIT 2011»
13 years 4 months ago
Estimating Heavy-Tail Exponents Through Max Self-Similarity
: In this paper, a novel approach to the problem of estimating the heavy–tail exponent α > 0 of a distribution is proposed. It is based on the fact that block–maxima of siz...
Stilian Stoev, George Michailidis, Murad S. Taqqu
RTCSA
2008
IEEE
14 years 4 months ago
Real-Time Scheduling Using Credit-Controlled Static-Priority Arbitration
—The convergence of application domains in new systems-on-chip (SoC) results in systems with many applications with a mix of soft and hard real-time requirements. To reduce cost,...
Benny Akesson, Liesbeth Steffens, Eelke Strooisma,...
AAMAS
2010
Springer
13 years 9 months ago
Coordinated learning in multiagent MDPs with infinite state-space
Abstract In this paper we address the problem of simultaneous learning and coordination in multiagent Markov decision problems (MMDPs) with infinite state-spaces. We separate this ...
Francisco S. Melo, M. Isabel Ribeiro
SIAMIS
2010
283views more  SIAMIS 2010»
13 years 4 months ago
A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science
We generalize the primal-dual hybrid gradient (PDHG) algorithm proposed by Zhu and Chan in [M. Zhu, and T. F. Chan, An Efficient Primal-Dual Hybrid Gradient Algorithm for Total Var...
Ernie Esser, Xiaoqun Zhang, Tony F. Chan
ICDM
2009
IEEE
149views Data Mining» more  ICDM 2009»
14 years 4 months ago
Accelerated Gradient Method for Multi-task Sparse Learning Problem
—Many real world learning problems can be recast as multi-task learning problems which utilize correlations among different tasks to obtain better generalization performance than...
Xi Chen, Weike Pan, James T. Kwok, Jaime G. Carbon...