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» Approximate Models for General Cache Networks
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KDD
2004
ACM
166views Data Mining» more  KDD 2004»
14 years 8 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi
GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
13 years 9 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
WWW
2007
ACM
14 years 9 months ago
The largest scholarly semantic network...ever
Scholarly entities, such as articles, journals, authors and institutions, are now mostly ranked according to expert opinion and citation data. The Andrew W. Mellon Foundation fund...
Johan Bollen, Marko A. Rodriguez, Herbert Van de S...
CIDR
2009
181views Algorithms» more  CIDR 2009»
13 years 9 months ago
The Case for RodentStore: An Adaptive, Declarative Storage System
Recent excitement in the database community surrounding new applications--analytic, scientific, graph, geospatial, etc.--has led to an explosion in research on database storage sy...
Philippe Cudré-Mauroux, Eugene Wu, Samuel M...
KDD
2008
ACM
174views Data Mining» more  KDD 2008»
14 years 8 months ago
Effective label acquisition for collective classification
Information diffusion, viral marketing, and collective classification all attempt to model and exploit the relationships in a network to make inferences about the labels of nodes....
Mustafa Bilgic, Lise Getoor