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» Experimental Design for Variable Selection in Data Bases
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ECOWS
2009
Springer
16 years 25 days ago
A Model and Algorithm for Self-Adaptation in Service-oriented Systems
Abstract—In this paper, we address the problem of selfadaptation in internet-scale service-oriented systems. Services need to adapt by select the best neighboring services solely...
Christoph Dorn, Daniel Schall, Schahram Dustdar
NIPS
2004
15 years 7 months ago
Boosting on Manifolds: Adaptive Regularization of Base Classifiers
In this paper we propose to combine two powerful ideas, boosting and manifold learning. On the one hand, we improve ADABOOST by incorporating knowledge on the structure of the dat...
Balázs Kégl, Ligen Wang
ICSNW
2004
Springer
188views Database» more  ICSNW 2004»
15 years 11 months ago
Peer Selection in Peer-to-Peer Networks with Semantic Topologies
Peer-to-Peer systems have proven to be an effective way of sharing data. Modern protocols are able to efficiently route a message to a given peer. However, determining the destin...
Peter Haase, Ronny Siebes, Frank van Harmelen
CSDA
2008
84views more  CSDA 2008»
15 years 6 months ago
Bayesian spatial prediction of the site index in the study of the Missouri Ozark Forest Ecosystem Project
This paper presents a Bayesian spatial method for analysing the site index data from the Missouri Ozark Forest Ecosystem Project (MOFEP). Based on ecological background and availa...
Xiaoqian Sun, Zhuoqiong He, John Kabrick
187
Voted
SAGA
2007
Springer
16 years 11 days ago
A VNS Algorithm for Noisy Problems and Its Application to Project Portfolio Analysis
Abstract. Motivated by an application in project portfolio analysis under uncertainty, we develop an algorithm S-VNS for solving stochastic combinatorial optimization (SCO) problem...
Walter J. Gutjahr, Stefan Katzensteiner, Peter Rei...