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RSCTC
2010
Springer
142views Fuzzy Logic» more  RSCTC 2010»
13 years 6 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
RSCTC
2010
Springer
155views Fuzzy Logic» more  RSCTC 2010»
13 years 6 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»
13 years 6 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»
13 years 6 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»
14 years 3 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...