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ISCIS
2003
Springer
15 years 9 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 8 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»
15 years 4 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 10 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 11 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