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GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
16 years 5 days ago
A leader-based parallel cross entropy algorithm for MCP
The Cross Entropy algorithm is a new search method for combinatorial problem. However, it needs considerable computational time to achieve good solution quality. To make the Cross...
Zhanhua Bai, Qiang Lv
KDD
2008
ACM
234views Data Mining» more  KDD 2008»
16 years 6 months ago
Angle-based outlier detection in high-dimensional data
Detecting outliers in a large set of data objects is a major data mining task aiming at finding different mechanisms responsible for different groups of objects in a data set. All...
Hans-Peter Kriegel, Matthias Schubert, Arthur Zime...
SIGMETRICS
2009
ACM
140views Hardware» more  SIGMETRICS 2009»
16 years 15 days ago
Maximum likelihood estimation of the flow size distribution tail index from sampled packet data
In the context of network traffic analysis, we address the problem of estimating the tail index of flow (or more generally of any group) size distribution from the observation of...
Patrick Loiseau, Paulo Gonçalves, Sté...
KDD
2007
ACM
210views Data Mining» more  KDD 2007»
16 years 4 days ago
Machine learning for stock selection
In this paper, we propose a new method called Prototype Ranking (PR) designed for the stock selection problem. PR takes into account the huge size of real-world stock data and app...
Robert J. Yan, Charles X. Ling
GECCO
2005
Springer
170views Optimization» more  GECCO 2005»
15 years 11 months ago
Multiobjective shape optimization with constraints based on estimation distribution algorithms and correlated information
A new approach based on Estimation Distribution Algorithms for constrained multiobjective shape optimization is proposed in this article. Pareto dominance and feasibility rules ar...
Sergio Ivvan Valdez Peña, Salvador Botello ...