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» Optimal Distributed Online Prediction using Mini-Batches
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ML
2007
ACM
131views Machine Learning» more  ML 2007»
13 years 8 months ago
A primal-dual perspective of online learning algorithms
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
Shai Shalev-Shwartz, Yoram Singer
SOFTWARE
2002
13 years 8 months ago
Using Markov Chains for Link Prediction in Adaptive Web Sites
The large number of Web pages on many Web sites has raised navigational problems. Markov chains have recently been used to model user navigational behavior on the World Wide Web (W...
Jianhan Zhu, Jun Hong, John G. Hughes
SAB
2010
Springer
226views Optimization» more  SAB 2010»
13 years 7 months ago
Distributed Online Learning of Central Pattern Generators in Modular Robots
Abstract. In this paper we study distributed online learning of locomotion gaits for modular robots. The learning is based on a stochastic approximation method, SPSA, which optimiz...
David Johan Christensen, Alexander Spröwitz, ...
AUTOMATICA
2007
80views more  AUTOMATICA 2007»
13 years 8 months ago
Fast, large-scale model predictive control by partial enumeration
Partial enumeration (PE) is presented as a method for treating large, linear model predictive control applications that are out of reach with available MPC methods. PE uses both a...
Gabriele Pannocchia, James B. Rawlings, Stephen J....
ICDCSW
2009
IEEE
14 years 3 months ago
A Dynamic Battery Model for Co-design in Cyber-Physical Systems
We introduce a dynamic battery model that describes the variations of the capacity of a battery under time varying discharge current. This model supports a co-design approach for ...
Fumin Zhang, Zhenwu Shi, Wayne Wolf