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» Performance comparison of memetic algorithms
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129
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AIPR
2008
IEEE
15 years 5 months ago
Detection of ephemeral changes in sequences of images
The formalism of anomalous change detection, which was developed for finding unusual changes in pairs of images, is extended to sequences of more than two images. Extended algorith...
James Theiler, Steven M. Adler-Golden
NIPS
2008
15 years 5 months ago
ICA based on a Smooth Estimation of the Differential Entropy
In this paper we introduce the MeanNN approach for estimation of main information theoretic measures such as differential entropy, mutual information and divergence. As opposed to...
Lev Faivishevsky, Jacob Goldberger
120
Voted
EMNLP
2006
15 years 5 months ago
Lexicon Acquisition for Dialectal Arabic Using Transductive Learning
We investigate the problem of learning a part-of-speech (POS) lexicon for a resource-poor language, dialectal Arabic. Developing a high-quality lexicon is often the first step tow...
Kevin Duh, Katrin Kirchhoff
ESANN
2006
15 years 5 months ago
Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks
Regression Error Characteristic (REC) analysis is a technique for evaluation and comparison of regression models that facilitates the visualization of the performance of many regre...
Aloísio Carlos de Pina, Gerson Zaverucha
88
Voted
JMLR
2007
104views more  JMLR 2007»
15 years 3 months ago
Comments on the "Core Vector Machines: Fast SVM Training on Very Large Data Sets"
In a recently published paper in JMLR, Tsang et al. (2005) present an algorithm for SVM called Core Vector Machines (CVM) and illustrate its performances through comparisons with ...
Gaëlle Loosli, Stéphane Canu