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ESANN
2008
15 years 5 months ago
An emphasized target smoothing procedure to improve MLP classifiers performance
Standard learning procedures are better fitted to estimation than to classification problems, and focusing the training on appropriate samples provides performance advantages in cl...
Soufiane El Jelali, Abdelouahid Lyhyaoui, An&iacut...
140
Voted
NIPS
2008
15 years 5 months ago
An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis
We study the problem of domain transfer for a supervised classification task in mRNA splicing. We consider a number of recent domain transfer methods from machine learning, includ...
Gabriele Schweikert, Christian Widmer, Bernhard Sc...
124
Voted
ESANN
2006
15 years 4 months ago
Using sampling methods to improve binding site predictions
Currently the best algorithms for transcription factor binding site prediction are severely limited in accuracy. In previous work we combine random selection under-sampling with th...
Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhors...
93
Voted
DAM
2006
63views more  DAM 2006»
15 years 3 months ago
A new family of proximity graphs: Class cover catch digraphs
Motivated by issues in machine learning and statistical pattern classification, we investigate a class cover problem (CCP) with an associated family of directed graphs--class cove...
Jason DeVinney, Carey E. Priebe
102
Voted
KI
2002
Springer
15 years 3 months ago
Incremental Fuzzy Decision Trees
Abstract. We present a new classification algorithm that combines three properties: It generates decision trees, which proved a valuable and intelligible tool for classification an...
Marina Guetova, Steffen Hölldobler, Hans-Pete...