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» On Combining Classifiers
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GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
15 years 4 months ago
Evolving sequence patterns for prediction of sub-cellular locations of eukaryotic proteins
A genetic algorithm (GA) is utilised to discover known and novel PROSITE-like sequence templates that can be used to classify the sub-cellular location of eukaryotic proteins. Whi...
Greg Paperin
ICPR
2000
IEEE
16 years 4 months ago
Invariant Image Object Recognition Using Mixture Densities
In this paper we present a mixture density based approach to invariant image object recognition. We start our experiments using Gaussian mixture densities within a Bayesian classi...
Daniel Keysers, Hermann Ney, Jörg Dahmen, Mar...
ICDAR
2007
IEEE
15 years 9 months ago
LDA-Based Compound Distance for Handwritten Chinese Character Recognition
In this paper, we propose a linear discriminant analysis (LDA)-based compound distance measure for discriminating similar characters in handwritten Chinese character recognition. ...
T.-F. Gao, C.-L. Liu
DAWAK
2008
Springer
15 years 4 months ago
Selective Pre-processing of Imbalanced Data for Improving Classification Performance
In this paper we discuss problems of constructing classifiers from imbalanced data. We describe a new approach to selective preprocessing of imbalanced data which combines local ov...
Jerzy Stefanowski, Szymon Wilk
NAACL
2010
15 years 29 days ago
Using Mostly Native Data to Correct Errors in Learners' Writing
We present results from a range of experiments on article and preposition error correction for non-native speakers of English. We first compare a language model and errorspecific ...
Michael Gamon