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» Generalization Bounds for Some Ordinal Regression Algorithms
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JPDC
2006
106views more  JPDC 2006»
13 years 8 months ago
Adaptive algorithms for the dynamic distribution and parallel execution of agent-based models
We propose a framework for defining agent-based models (ABMs) and two algorithms for the automatic parallelization of agent-based models, a general version P-ABMG for all ABMs def...
Matthias Scheutz, Paul W. Schermerhorn
FOCS
2006
IEEE
14 years 2 months ago
Approximation Algorithms for Non-Uniform Buy-at-Bulk Network Design
We consider approximation algorithms for non-uniform buy-at-bulk network design problems. The first nontrivial approximation algorithm for this problem is due to Charikar and Kar...
Chandra Chekuri, Mohammad Taghi Hajiaghayi, Guy Ko...
GECCO
2006
Springer
121views Optimization» more  GECCO 2006»
14 years 4 days ago
A splicing/decomposable encoding and its novel operators for genetic algorithms
In this paper, we introduce a new genetic representation -- a splicing/decomposable (S/D) binary encoding, which was proposed based on some theoretical guidance and existing recom...
Yong Liang, Kwong-Sak Leung, Kin-Hong Lee
COCOA
2008
Springer
13 years 10 months ago
New Algorithms for k-Center and Extensions
The problem of interest is covering a given point set with homothetic copies of several convex containers C1,...,Ck, while the objective is to minimize the maximum over the dilatat...
René Brandenberg, Lucia Roth
IDA
1997
Springer
14 years 19 days ago
How to Find Big-Oh in Your Data Set (and How Not to)
The empirical curve bounding problem is de ned as follows. Suppose data vectors X Y are presented such that E(Y i]) = f(X i]) where f(x) is an unknown function. The problem is to a...
Catherine C. McGeoch, Doina Precup, Paul R. Cohen