On Some Classes Of Linear Equations III
J. D. Kečkić, M. S. Stanković (1982)
Publications de l'Institut Mathématique
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Displaying similar documents to “Using the one-versus-rest strategy with samples balancing to improve pairwise coupling classification”
On Some Classes Of Linear Equations III
On some classes of function sequence spaces
M. G. Lazić (1975)
Matematički Vesnik
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On certain classes of commutators.
S.C. Arora (1974)
Publications de l'Institut Mathématique [Elektronische Ressource]
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Set theory over classes
Arnold Oberschelp
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CONTENTS1. Introduction................................................................................................................ 52. General view on sets and classes....................................................................... 63. The elementary theory of classes, relations, and functions............................ 104. The general set theory over classes.................................................................... 185. The M-comprehension schema...............................................................................
On some classes of Mocanu-Bazilevic functions
Jakubowski, Zbigniew Jerzy, Kamiński, Józef (2015-12-08T07:57:23Z)
Acta Universitatis Lodziensis. Folia Mathematica
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On Dini derivatives and on certain classes of Zahorski
S. N. Mukhopadhyay (1972)
Colloquium Mathematicae
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Subharmonic analogues of MacLane's classes
R. J. M. Hornblower (1972)
Annales Polonici Mathematici
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Characteristic classes of multifoliations
Robert Wolak (1987)
Colloquium Mathematicae
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Relations between some classes of functions of generalized bounded variation
Amiran Gogatishvili, Ushangi Goginava, George Tephnadze (2014)
Banach Center Publications
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We prove inclusion relations between generalizing Waterman's and generalized Wiener's classes for functions of two variable.
A simple upper bound to the Bayes error probability for feature selection
Lorenzo Bruzzone, Sebastiano B. Serpico (1998)
Kybernetika
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In this paper, feature selection in multiclass cases for classification of remote-sensing images is addressed. A criterion based on a simple upper bound to the error probability of the Bayes classifier for the minimum error is proposed. This criterion has the advantage of selecting features having a link with the error probability with a low computational load. Experiments have been carried out in order to compare the performances provided by the proposed criterion with the ones of some...