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» Iterative Improvement of Neural Classifiers
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ICANN
2009
Springer
13 years 11 months ago
Probability-Based Distance Function for Distance-Based Classifiers
In the paper a new measure of distance between events/observations in the pattern space is proposed and experimentally evaluated with the use of k-NN classifier in the context of b...
Cezary Dendek, Jacek Mandziuk
ESANN
2004
13 years 8 months ago
Online policy adaptation for ensemble classifiers
Ensemble algorithms can improve the performance of a given learning algorithm through the combination of multiple base classifiers into an ensemble. In this paper, the idea of usin...
Christos Dimitrakakis, Samy Bengio
ICMCS
2005
IEEE
126views Multimedia» more  ICMCS 2005»
14 years 21 days ago
A Real-Time Lip SYNC System Using a Genetic Algorithm for Automatic Neural Network Configuration
In this paper we present a new method for mapping a natural speech to the lip shape animation in the real time. The speech signal, represented by MFCC vectors, is classified into ...
Goranka Zoric, Igor S. Pandzic
GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
13 years 11 months ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
MEDINFO
2007
266views Healthcare» more  MEDINFO 2007»
13 years 8 months ago
Automatic Image Modality Based Classification and Annotation to Improve Medical Image Retrieval
Medical image retrieval can play an important role for diagnostic and teaching purposes in medicine. Image modality is an important visual characteristic that can be used to impro...
Jayashree Kalpathy-Cramer, William R. Hersh