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» Ensembles of Region Based Classifiers
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MCS
2004
Springer
14 years 28 days ago
Learn++.MT: A New Approach to Incremental Learning
An ensemble of classifiers based algorithm, Learn++, was recently introduced that is capable of incrementally learning new information from datasets that consecutively become avail...
Michael Muhlbaier, Apostolos Topalis, Robi Polikar
MCS
2009
Springer
14 years 4 days ago
Incremental Learning of Variable Rate Concept Drift
We have recently introduced an incremental learning algorithm, Learn++ .NSE, for Non-Stationary Environments, where the data distribution changes over time due to concept drift. Le...
Ryan Elwell, Robi Polikar
FSS
2008
110views more  FSS 2008»
13 years 7 months ago
Learning valued preference structures for solving classification problems
This paper introduces a new approach to classification which combines pairwise decomposition techniques with ideas and tools from fuzzy preference modeling. More specifically, our...
Eyke Hüllermeier, Klaus Brinker
CG
2005
Springer
13 years 7 months ago
An image-based, trainable symbol recognizer for hand-drawn sketches
We describe a trainable, hand-drawn symbol recognizer based on a multi-layer recognition scheme. Symbols are internally represented as binary templates. An ensemble of four differ...
Levent Burak Kara, Thomas F. Stahovich
ICPR
2008
IEEE
14 years 8 months ago
Preliminary approach on synthetic data sets generation based on class separability measure
Usually, performance of classifiers is evaluated on real-world problems that mainly belong to public repositories. However, we ignore the inherent properties of these data and how...
Núria Macià, Ester Bernadó-Ma...