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ICANN
2009
Springer
15 years 2 months ago
Empirical Study of the Universum SVM Learning for High-Dimensional Data
Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...
Vladimir Cherkassky, Wuyang Dai
CAIP
1999
Springer
15 years 2 months ago
Shift Detection by Restoration
In this paper an approach is presented for robust shift detection of two given images. The new unifying idea is that we determine a shifted delta impulse using some well-known res...
Herbert Süße, Klaus Voss, Wolfgang Ortm...
ECML
2006
Springer
15 years 1 months ago
EM Algorithm for Symmetric Causal Independence Models
Causal independence modelling is a well-known method both for reducing the size of probability tables and for explaining the underlying mechanisms in Bayesian networks. In this pap...
Rasa Jurgelenaite, Tom Heskes
CEC
2003
IEEE
15 years 1 months ago
Phylogenetic trees using evolutionary search: initial progress in extending Gaphyl to work with genetic data
AbstractGaphyl is an application of evolutionary algorithms (EA's) to phylogenetics, an approach used by biologists to investigate evolutionary relationships among organisms. ...
Clare Bates Congdon, Kevin J. Septor
ANNES
1995
15 years 1 months ago
The Development of Holte's 1R Classifier
The 1R procedure for machine learning is a very simple one that proves surprisingly effective on the standard datasets commonly used for evaluation. This paper describes the metho...
Craig G. Nevill-Manning, Geoffrey Holmes, Ian H. W...