Sciweavers

396 search results - page 19 / 80
» Modeling High-Dimensional Data by Combining Simple Experts
Sort
View
ICDM
2003
IEEE
158views Data Mining» more  ICDM 2003»
15 years 3 months ago
Combining Multiple Weak Clusterings
A data set can be clustered in many ways depending on the clustering algorithm employed, parameter settings used and other factors. Can multiple clusterings be combined so that th...
Alexander P. Topchy, Anil K. Jain, William F. Punc...
IDA
2010
Springer
15 years 1 months ago
Statistical Modelling for Data from Experiments with Short Hairpin RNAs
This paper delivers an example of applying intelligent data analysis to biological data where the success of the project was only possible due to joint efforts of the experts from ...
Frank Klawonn, Torsten Wüstefeld, Lars Zender
IDEAL
2009
Springer
15 years 4 months ago
STORM - A Novel Information Fusion and Cluster Interpretation Technique
Abstract. Analysis of data without labels is commonly subject to scrutiny by unsupervised machine learning techniques. Such techniques provide more meaningful representations, usef...
Jan Feyereisl, Uwe Aickelin
ER
2007
Springer
99views Database» more  ER 2007»
15 years 3 months ago
Capturing Users' Everyday, Implicit Information Integration Decisions
Integration of large databases by expert teams is only a small part of the data integration activities that take place. Users without data integration expertise very often gather,...
David W. Archer, Lois M. L. Delcambre
CORR
1999
Springer
67views Education» more  CORR 1999»
14 years 9 months ago
Robust Combining of Disparate Classifiers through Order Statistics
: Integrating the outputs of multiple classifiers via combiners or meta-learners has led to substantial improvements in several difficult pattern recognition problems. In this arti...
Kagan Tumer, Joydeep Ghosh