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ANNPR
2006
Springer
15 years 8 months ago
Visual Classification of Images by Learning Geometric Appearances Through Boosting
We present a multiclass classification system for gray value images through boosting. The feature selection is done using the LPBoost algorithm which selects suitable features of a...
Martin Antenreiter, Christian Savu-Krohn, Peter Au...
JMLR
2008
94views more  JMLR 2008»
15 years 5 months ago
Using Markov Blankets for Causal Structure Learning
We show how a generic feature selection algorithm returning strongly relevant variables can be turned into a causal structure learning algorithm. We prove this under the Faithfuln...
Jean-Philippe Pellet, André Elisseeff
168
Voted
TEC
2008
146views more  TEC 2008»
15 years 5 months ago
An Evolutionary Algorithm Approach to Optimal Ensemble Classifiers for DNA Microarray Data Analysis
In general, the analysis of microarray data requires two steps: feature selection and classification. From a variety of feature selection methods and classifiers, it is difficult t...
Kyung-Joong Kim, Sung-Bae Cho
JMLR
2002
115views more  JMLR 2002»
15 years 4 months ago
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
Matthias Seeger
149
Voted
RAS
2002
118views more  RAS 2002»
15 years 4 months ago
Control schemes for teleoperation with time delay: A comparative study
The possibility of operating in remote environments by means of telecontrolled systems has always been considered of relevant interest in robotics. For this reason, in the literat...
Paolo Arcara, Claudio Melchiorri