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ICRA
2008
IEEE
150views Robotics» more  ICRA 2008»
15 years 9 months ago
A Bayesian approach to empirical local linearization for robotics
— Local linearizations are ubiquitous in the control of robotic systems. Analytical methods, if available, can be used to obtain the linearization, but in complex robotics system...
Jo-Anne Ting, Aaron D'Souza, Sethu Vijayakumar, St...
LION
2007
Springer
192views Optimization» more  LION 2007»
15 years 9 months ago
Learning While Optimizing an Unknown Fitness Surface
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
Roberto Battiti, Mauro Brunato, Paolo Campigotto
BMCBI
2006
102views more  BMCBI 2006»
15 years 3 months ago
Protein secondary structure prediction for a single-sequence using hidden semi-Markov models
Background: The accuracy of protein secondary structure prediction has been improving steadily towards the 88% estimated theoretical limit. There are two types of prediction algor...
Zafer Aydin, Yucel Altunbasak, Mark Borodovsky
TSP
2010
14 years 10 months ago
Low complexity equalization for doubly selective channels modeled by a basis expansion
We propose a novel equalization method for doubly selective wireless channels, whose taps are represented by an arbitrary Basis Expansion Model (BEM). We view such a channel in the...
Tomasz Hrycak, Saptarshi Das, Gerald Matz, Hans G....
100
Voted
ICC
2009
IEEE
127views Communications» more  ICC 2009»
15 years 10 months ago
Security Games with Incomplete Information
—We study two-player security games which can be viewed as sequences of nonzero-sum matrix games where at each stage of the iterations the players make imperfect observations of ...
Kien C. Nguyen, Tansu Alpcan, Tamer Basar