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129
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ESANN
2008
15 years 5 months ago
Generalized matrix learning vector quantizer for the analysis of spectral data
The analysis of spectral data constitutes new challenges for machine learning algorithms due to the functional nature of the data. Special attention is paid to the metric used in t...
Petra Schneider, Frank-Michael Schleif, Thomas Vil...
109
Voted
ICML
2007
IEEE
16 years 4 months ago
Quadratically gated mixture of experts for incomplete data classification
We introduce quadratically gated mixture of experts (QGME), a statistical model for multi-class nonlinear classification. The QGME is formulated in the setting of incomplete data,...
Xuejun Liao, Hui Li, Lawrence Carin
145
Voted
FLAIRS
2008
15 years 6 months ago
Selecting Minority Examples from Misclassified Data for Over-Sampling
We introduce a method to deal with the problem of learning from imbalanced data sets, where examples of one class significantly outnumber examples of other classes. Our method sel...
Jorge de la Calleja, Olac Fuentes, Jesús Go...
139
Voted
ICDM
2010
IEEE
122views Data Mining» more  ICDM 2010»
15 years 1 months ago
Learning Preferences with Millions of Parameters by Enforcing Sparsity
We study the retrieval task that ranks a set of objects for a given query in the pairwise preference learning framework. Recently researchers found out that raw features (e.g. word...
Xi Chen, Bing Bai, Yanjun Qi, Qihang Lin, Jaime G....
129
Voted
SPLST
2003
15 years 5 months ago
Compacting XML Documents
Abstract. Nowadays one of the most common formats for storing information is XML. The size of XML documents can be rather large, and they may contain redundant attributes which can...
Miklós Kálmán, Ferenc Havasi,...