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» Optimization by Stochastic Continuation
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CIKM
2011
Springer
14 years 6 months ago
MTopS: scalable processing of continuous top-k multi-query workloads
A continuous top-k query retrieves the k most preferred objects in a data stream according to a given preference function. These queries are important for a broad spectrum of appl...
Avani Shastri, Di Yang, Elke A. Rundensteiner, Mat...
ICS
2005
Tsinghua U.
15 years 12 months ago
Continuous Replica Placement schemes in distributed systems
The Replica Placement Problem (RPP) aims at creating a set of duplicated data objects across the nodes of a distributed system in order to optimize certain criteria. Typically, RP...
Thanasis Loukopoulos, Petros Lampsas, Ishfaq Ahmad
GECCO
2008
Springer
121views Optimization» more  GECCO 2008»
15 years 7 months ago
Fast rule representation for continuous attributes in genetics-based machine learning
Genetic-Based Machine Learning Systems (GBML) are comparable in accuracy with other learning methods. However, efficiency is a significant drawback. This paper presents a new rep...
Jaume Bacardit, Natalio Krasnogor
CVPR
2009
IEEE
17 years 1 months ago
Stochastic Gradient Kernel Density Mode-Seeking
As a well known fixed-point iteration algorithm for kernel density mode-seeking, Mean-Shift has attracted wide attention in pattern recognition field. To date, Mean-Shift algorit...
Xiaotong Yuan, Stan Z. Li
ANOR
2007
67views more  ANOR 2007»
15 years 6 months ago
A stochastic programming model for asset liability management of a Finnish pension company
This paper describes a stochastic programming model that was developed for asset liability management of a Finnish pension insurance company. In many respects the model resembles t...
Petri Hilli, Matti Koivu, Teemu Pennanen, Antero R...