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DIS
2008
Springer
14 years 11 months ago
Unsupervised Classifier Selection Based on Two-Sample Test
We propose a well-founded method of ranking a pool of m trained classifiers by their suitability for the current input of n instances. It can be used when dynamically selecting a s...
Timo Aho, Tapio Elomaa, Jussi Kujala
ICPR
2008
IEEE
15 years 4 months ago
Improving Gaussian processes classification by spectral data reorganizing
We improve Gaussian processes (GP) classification by reorganizing the (non-stationary and anisotropic) data to better fit to the isotropic GP kernel. First, the data is partitione...
Hang Zhou, David Suter
CCECE
2006
IEEE
15 years 3 months ago
Likelihood-Based Algorithms for Linear Digital Modulation Classification in Fading Channels
Blind modulation classification (MC) is an intermediate step between signal detection and demodulation, with both military and civilian applications. MC is a challenging task, esp...
Octavia A. Dobre, Fahed Hameed
GCB
2005
Springer
74views Biometrics» more  GCB 2005»
15 years 3 months ago
Exploiting scale-free information from expression data for cancer classification
: In most studies concerning expression data analyses information on the variability of gene intensity across samples is usually exploited. This information is sensitive to initial...
Alexey V. Antonov, Igor V. Tetko, Denis Kosykh, Di...
IJCNN
2000
IEEE
15 years 2 months ago
Classification of Noisy Signals Using Fuzzy ARTMAP Neural Networks
—This paper describes an approach to classification of noisy signals using a technique based on the fuzzy ARTMAP neural network (FAMNN). The proposed method is a modification of ...
Dimitrios Charalampidis, Michael Georgiopoulos, Ta...