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» Feature selection with neural networks
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ICANN
2005
Springer
14 years 2 months ago
Model Selection Under Covariate Shift
A common assumption in supervised learning is that the training and test input points follow the same probability distribution. However, this assumption is not fulfilled, e.g., in...
Masashi Sugiyama, Klaus-Robert Müller
ISNN
2005
Springer
14 years 2 months ago
An Information Criterion for Informative Gene Selection
It is important in bioinformatics research and applications to select or discover informative genes of a tumor from microarray data. However, most of the existing methods are based...
Fei Ge, Jinwen Ma
ESANN
2006
13 years 10 months ago
Recognition of handwritten digits using sparse codes generated by local feature extraction methods
We investigate when sparse coding of sensory inputs can improve performance in a classification task. For this purpose, we use a standard data set, the MNIST database of handwritte...
Rebecca Steinert, Martin Rehn, Anders Lansner
EUSFLAT
2001
125views Fuzzy Logic» more  EUSFLAT 2001»
13 years 10 months ago
Computational intelligence approaches for parametric estimation and feature extraction of power spectral density
This paper reports an early progress of a feasibility study of a computational intelligence approach to the enhancement of the accuracy of flow measurements in the framework of a ...
Da Ruan, Davide Roverso, Paolo F. Fantoni
IROS
2008
IEEE
116views Robotics» more  IROS 2008»
14 years 3 months ago
Selection of robot pre-grasps using box-based shape approximation
— Grasping is a central issue of various robot applications, especially when unknown objects have to be manipulated by the system. In earlier work, we have shown the efficiency ...
Kai Huebner, Danica Kragic