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GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
14 years 3 months ago
A parallel framework for loopy belief propagation
There are many innovative proposals introduced in the literature under the evolutionary computation field, from which estimation of distribution algorithms (EDAs) is one of them....
Alexander Mendiburu, Roberto Santana, Jose Antonio...
ICDCS
2006
IEEE
14 years 3 months ago
Interplay of ISPs: Distributed Resource Allocation and Revenue Maximization
The Internet is a hierarchical architecture comprising heterogeneous entities of privately owned infrastructures, where higher level Internet service providers (ISPs) supply conne...
Sam C. M. Lee, Joe W. J. Jiang, John C. S. Lui, Da...
ROCAI
2004
Springer
14 years 3 months ago
Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Tobias Sing, Niko Beerenwinkel, Thomas Lengauer
SIGMOD
1993
ACM
163views Database» more  SIGMOD 1993»
14 years 1 months ago
The LRU-K Page Replacement Algorithm For Database Disk Buffering
This paper introduces a new approach to database disk buffering, called the LRU–K method. The basic idea of LRU–K is to keep track of the times of the last K references to pop...
Elizabeth J. O'Neil, Patrick E. O'Neil, Gerhard We...
KDD
2010
ACM
274views Data Mining» more  KDD 2010»
14 years 1 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing