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RSCTC
2010
Springer
142views Fuzzy Logic» more  RSCTC 2010»
14 years 11 months ago
Learning from Imbalanced Data in Presence of Noisy and Borderline Examples
In this paper we studied re-sampling methods for learning classifiers from imbalanced data. We carried out a series of experiments on artificial data sets to explore the impact of ...
Krystyna Napierala, Jerzy Stefanowski, Szymon Wilk
98
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RSCTC
2010
Springer
155views Fuzzy Logic» more  RSCTC 2010»
14 years 11 months ago
A Fast Randomisation Test for Rule Significance
Randomisation is a method to test the statistical significance of a symbolic rule; it is, however, very expensive. In this paper we present a sequential randomisation test which d...
Ivo Düntsch, Günther Gediga
EUSFLAT
2009
100views Fuzzy Logic» more  EUSFLAT 2009»
14 years 11 months ago
Some Results on Lipschitz Quasi-Arithmetic Means
We present in this paper some properties of k-Lipschitz quasi-arithmetic means. The Lipschitz aggregation operations are stable with respect to input inaccuracies, what is a very i...
Gleb Beliakov, Tomasa Calvo, Simon James
FSKD
2009
Springer
143views Fuzzy Logic» more  FSKD 2009»
14 years 11 months ago
Spectral Clustering for Chinese Word
Sense Induction is the process of identifying the word sense given its context, often treated as a clustering task. This paper explores the use of spectral cluster method which in...
Ying Liu, Wang Nan, Tie Zheng
WILF
2007
Springer
171views Fuzzy Logic» more  WILF 2007»
15 years 7 months ago
Analysis of Proteomic Spectral Data by Multi Resolution Analysis and Self-Organizing Maps
Abstract. Analysis and visualization of high-dimensional clinical proteomic spectra obtained from mass spectrometric measurements is a complicated issue. We present a wavelet based...
Frank-Michael Schleif, Thomas Villmann, Barbara Ha...