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ISCIS
2003
Springer
15 years 4 months ago
A New Continuous Action-Set Learning Automaton for Function Optimization
In this paper, we study an adaptive random search method based on continuous action-set learning automaton for solving stochastic optimization problems in which only the noisecorr...
Hamid Beigy, Mohammad Reza Meybodi
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 2 months ago
Standard and averaging reinforcement learning in XCS
This paper investigates reinforcement learning (RL) in XCS. First, it formally shows that XCS implements a method of generalized RL based on linear approximators, in which the usu...
Pier Luca Lanzi, Daniele Loiacono
BMCBI
2008
175views more  BMCBI 2008»
14 years 11 months ago
Comprehensive inventory of protein complexes in the Protein Data Bank from consistent classification of interfaces
Background: Protein-protein interactions are ubiquitous and essential for all cellular processes. High-resolution X-ray crystallographic structures of protein complexes can reveal...
Andrew J. Bordner, Andrey A. Gorin
SYNASC
2005
IEEE
117views Algorithms» more  SYNASC 2005»
15 years 4 months ago
Functional-Based Synthesis of Systolic Online Multipliers
— Systolic online algorithms for the multiplication of univariate polynomials and of multiple precision integers are synthesised using a novel method based on the following funct...
Tudor Jebelean, Laura Szakacs
SIAMJO
2010
127views more  SIAMJO 2010»
14 years 6 months ago
Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning
We consider a recently proposed optimization formulation of multi-task learning based on trace norm regularized least squares. While this problem may be formulated as a semidefini...
Ting Kei Pong, Paul Tseng, Shuiwang Ji, Jieping Ye