Results 241 to 250 of about 949 (276)
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A novel classifier for handwritten numeral recognition
2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008This paper presents a novel pattern classification approach- a kernel and Bhattacharyya distance based classifier which utilizes the distribution characteristics of the samples in each class. Bhattacharyya distance in the subspace spanned by the eigenvectors which are associated with the smaller eigenvalues in each class is adopted as the ...
Ying Wen, Pengfei Shi
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A new classifier for numerical incomplete data
2008 IEEE International Conference on Intelligence and Security Informatics, 2008Classification of the numerical data is a very important research topic in machine learning. But the incomplete data is very common in real world application. And the existence of incomplete data degrades the learning quality of classification models. But the existence of incomplete data always decrease the quality of classification models, To show the
Jun Wu 0009 +3 more
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Numeral Classifiers Used in the Cookbooks
International Journal of Linguistics, 2015<p>This article is aimed at describing numeral classifier used in the cookbooks. The data were collected through the observation, which is observation of the cookbooks. Through the observation, the data related to numeral classifier are tapped. Besides, noting technique is also used.
Nadra Nadra, Sri Wahyuni
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Journal of African Languages and Linguistics, 1994
Le but de l'A. est de proposer une description du systeme des classificateurs numeraux en kana, langue nigeriane du sud-est. L'A.
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Le but de l'A. est de proposer une description du systeme des classificateurs numeraux en kana, langue nigeriane du sud-est. L'A.
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Possibilistic Classifiers for Uncertain Numerical Data
2011In many real-world problems, input data may be pervaded with uncertainty. Naive possibilistic classifiers have been proposed as a counterpart to Bayesian classifiers to deal with classification tasks in presence of uncertainty. Following this line here, we extend possibilistic classifiers, which have been recently adapted to numerical data, in order to
Myriam Bounhas +3 more
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The hydrocyclone classifier — A numerical approach
International Journal of Mineral Processing, 1986A user-oriented mathematical model of the hydrocyclone classifier is described. The model uses state-of-the-art numerical techniques to solve the discretised form of the Navier-Stokes equations relating to pulp velocities, and the transport equations for air and particle concentrations.
K.A. Pericleous, N. Rhodes
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1996
Numeral Classifier Systems considers the functional significance of the Japanese numeral system, its conclusions based on a corpus of 500 uses of classifier constructions drawn from oral and written Japanese texts. Interestingly, although the Japanese system appears to conform at least superficially to universalistic predictions about its semantic ...
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Numeral Classifier Systems considers the functional significance of the Japanese numeral system, its conclusions based on a corpus of 500 uses of classifier constructions drawn from oral and written Japanese texts. Interestingly, although the Japanese system appears to conform at least superficially to universalistic predictions about its semantic ...
openaire +1 more source