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» Adaptive Online Gradient Descent
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109
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GECCO
2009
Springer
194views Optimization» more  GECCO 2009»
15 years 4 months ago
Combining evolution strategy and gradient descent method for discriminative learning of bayesian classifiers
The optimization method is one of key issues in discriminative learning of pattern classifiers. This paper proposes a hybrid approach of the Covariance Matrix Adaptation Evolution...
Xuefeng Chen, Xiabi Liu, Yunde Jia
COLT
2010
Springer
14 years 7 months ago
Composite Objective Mirror Descent
We present a new method for regularized convex optimization and analyze it under both online and stochastic optimization settings. In addition to unifying previously known firstor...
John Duchi, Shai Shalev-Shwartz, Yoram Singer, Amb...
ISCAS
2008
IEEE
115views Hardware» more  ISCAS 2008»
15 years 4 months ago
Adaptive delay compensation in multi-dithering adaptive control
Abstract— Recently, a delay-insensitive architecture for gradient descent adaptive control, based on parallel synchronous detection for model-free gradient estimation was present...
Dimitrios N. Loizos, Paul-Peter Sotiriadis, Gert C...
66
Voted
WWW
2010
ACM
15 years 4 months ago
Web-scale k-means clustering
We present two modifications to the popular k-means clustering algorithm to address the extreme requirements for latency, scalability, and sparsity encountered in user-facing web...
D. Sculley
AUTOMATICA
2008
82views more  AUTOMATICA 2008»
14 years 9 months ago
Iterative minimization of H2 control performance criteria
Data-based control design methods most often consist of iterative adjustment of the controller's parameters towards the parameter values which minimize an H2 performance crit...
Alexandre S. Bazanella, Michel Gevers, Ljubisa Mis...