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ECML
2001
Springer
15 years 12 months ago
Learning of Variability for Invariant Statistical Pattern Recognition
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciï...
Daniel Keysers, Wolfgang Macherey, Jörg Dahme...
KDD
2010
ACM
250views Data Mining» more  KDD 2010»
15 years 9 months ago
On community outliers and their efficient detection in information networks
Linked or networked data are ubiquitous in many applications. Examples include web data or hypertext documents connected via hyperlinks, social networks or user profiles connected...
Jing Gao, Feng Liang, Wei Fan, Chi Wang, Yizhou Su...
207
Voted
WSC
2004
15 years 8 months ago
Building Credible Input Models
Most discrete-event simulation models have stochastic elements that mimic the probabilistic nature of the system under consideration. A close match between the input model and the...
Lawrence Leemis
206
Voted
WSC
1998
15 years 8 months ago
Input Modeling
Most discrete-event simulation models have stochastic elements that mimic the probabilistic nature of the system under consideration. A close match between the input model and the...
Lawrence Leemis
GECCO
2006
Springer
151views Optimization» more  GECCO 2006»
15 years 11 months ago
Sporadic model building for efficiency enhancement of hierarchical BOA
This paper describes and analyzes sporadic model building, which can be used to enhance the efficiency of the hierarchical Bayesian optimization algorithm (hBOA) and other advance...
Martin Pelikan, Kumara Sastry, David E. Goldberg