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IJCNN
2007
IEEE
15 years 10 months ago
Generalised Kernel Machines
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. T...
IDEAL
2005
Springer
15 years 10 months ago
Kernel Biased Discriminant Analysis Using Histogram Intersection Kernel for Content-Based Image Retrieval
It is known that no single descriptor is powerful enough to encompass all aspects of image content, i.e. each feature extraction method has its own view of the image content. A pos...
Lin Mei, Gerd Brunner, Lokesh Setia, Hans Burkhard...
140
Voted
ICDE
2007
IEEE
96views Database» more  ICDE 2007»
15 years 8 months ago
Mining Software Data
Data mining techniques and machine learning methods are commonly used in several disciplines. It is possible that they could also provide a basis for quality assessment of softwar...
Burak Turhan, F. Onur Kutlubay
108
Voted
EMNLP
2008
15 years 6 months ago
Part-of-Speech Tagging for English-Spanish Code-Switched Text
Code-switching is an interesting linguistic phenomenon commonly observed in highly bilingual communities. It consists of mixing languages in the same conversational event. This pa...
Thamar Solorio, Yang Liu
ECML
1994
Springer
15 years 8 months ago
Estimating Attributes: Analysis and Extensions of RELIEF
In the context of machine learning from examples this paper deals with the problem of estimating the quality of attributes with and without dependencies among them. Kira and Rendel...
Igor Kononenko