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ESANN
2008
13 years 6 months ago
Interpretable ensembles of local models for safety-related applications
Abstract. This paper discusses a machine learning approach for binary classification problems which satisfies the specific requirements of safety-related applications. The approach...
Sebastian Nusser, Clemens Otte, Werner Hauptmann
SDM
2011
SIAM
203views Data Mining» more  SDM 2011»
12 years 7 months ago
Interpreting and Unifying Outlier Scores
Outlier scores provided by different outlier models differ widely in their meaning, range, and contrast between different outlier models and, hence, are not easily comparable o...
Hans-Peter Kriegel, Peer Kröger, Erich Schube...
ISCI
2008
88views more  ISCI 2008»
13 years 4 months ago
Greedy regression ensemble selection: Theory and an application to water quality prediction
This paper studies the greedy ensemble selection family of algorithms for ensembles of regression models. These algorithms search for the globally best subset of regresmaking loca...
Ioannis Partalas, Grigorios Tsoumakas, Evaggelos V...
ICDM
2010
IEEE
125views Data Mining» more  ICDM 2010»
13 years 2 months ago
Topic Modeling Ensembles
: Topic Modeling Ensembles Zhiyong Shen, Ping Luo, Shengwen Yang, Xukun Shen HP Laboratories HPL-2010-158 Topic model, Ensemble In this paper we propose a framework of topic model...
Zhiyong Shen, Ping Luo, Shengwen Yang, Xukun Shen
PVM
1997
Springer
13 years 9 months ago
Message-Passing Program Development by Ensemble
We present Ensemble, a message-passing implementation methodology, applied to PVM. Ensemble overcomes problems and complexities in developing applications in messagepassing enviro...
John Yiannis Cotronis