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GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
16 years 21 days ago
Real-coded ECGA for economic dispatch
In this paper, we propose a new approach that consists of the extended compact genetic algorithm (ECGA) and split-ondemand (SoD), an adaptive discretization technique, to economic...
Chao-Hong Chen, Ying-Ping Chen
BMCBI
2006
164views more  BMCBI 2006»
15 years 6 months ago
Evaluation of clustering algorithms for gene expression data
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
Susmita Datta, Somnath Datta
PR
2010
156views more  PR 2010»
15 years 5 months ago
The hyperbolic smoothing clustering method
It is considered the minimum sum-of-squares clustering problem. The mathematical modeling of this problem leads to a min − sum − min formulation which, in addition to its intr...
Adilson Elias Xavier
NIPS
1998
15 years 7 months ago
Gradient Descent for General Reinforcement Learning
A simple learning rule is derived, the VAPS algorithm, which can be instantiated to generate a wide range of new reinforcementlearning algorithms. These algorithms solve a number ...
Leemon C. Baird III, Andrew W. Moore
BIRTHDAY
2011
Springer
14 years 6 months ago
Algorithmic Aspects of Risk Management
Abstract. Risk analysis has been used to manage the security of systems for several decades. However, its use has been limited to offline risk computation and manual response. In c...
Ashish Gehani, Lee Zaniewski, K. Subramani