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» A cloning approach to classifier training
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INFFUS
2008
97views more  INFFUS 2008»
15 years 18 days ago
Using classifier ensembles to label spatially disjoint data
act 11 We describe an ensemble approach to learning from arbitrarily partitioned data. The partitioning comes from the distributed process12 ing requirements of a large scale simul...
Larry Shoemaker, Robert E. Banfield, Lawrence O. H...
ESANN
2008
15 years 2 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...
89
Voted
EMNLP
2009
14 years 10 months ago
Classifier Combination for Contextual Idiom Detection Without Labelled Data
We propose a novel unsupervised approach for distinguishing literal and non-literal use of idiomatic expressions. Our model combines an unsupervised and a supervised classifier. T...
Linlin Li, Caroline Sporleder
111
Voted
ICANN
2009
Springer
15 years 4 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
80
Voted
COLING
2010
14 years 7 months ago
A Hierarchical Classifier Applied to Multi-way Sentiment Detection
This paper considers the problem of document-level multi-way sentiment detection, proposing a hierarchical classifier algorithm that accounts for the inter-class similarity of tag...
Adrian Bickerstaffe, Ingrid Zukerman