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» On the adaptation of noise level for stochastic optimization
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ICML
2006
IEEE
14 years 7 months ago
Hierarchical classification: combining Bayes with SVM
We study hierarchical classification in the general case when an instance could belong to more than one class node in the underlying taxonomy. Experiments done in previous work sh...
Nicolò Cesa-Bianchi, Claudio Gentile, Luca ...
GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
13 years 10 months ago
Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noisy BBOB-2010 testbed
The Covariance-Matrix-Adaptation Evolution-Strategy (CMA-ES) is a robust stochastic search algorithm for optimizing functions defined on a continuous search space RD . Recently, ...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
MM
2003
ACM
161views Multimedia» more  MM 2003»
13 years 11 months ago
Integrated power management for video streaming to mobile handheld devices
Optimizing user experience for streaming video applications on handheld devices is a significant research challenge. In this paper, we propose an integrated power management appr...
Shivajit Mohapatra, Radu Cornea, Nikil D. Dutt, Al...
MONET
2008
102views more  MONET 2008»
13 years 5 months ago
QoS Support for Multi-user Sessions in IP-based Next Generation Networks
A combined control of multimedia quality level, mobility and allocation of network resources is essential for the success of next generation mobile networks. In this context, this ...
Eduardo Cerqueira, Luis Veloso, Augusto Neto, Mari...
IJON
1998
158views more  IJON 1998»
13 years 5 months ago
Bayesian Kullback Ying-Yang dependence reduction theory
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
Lei Xu