Results 261 to 270 of about 102,807 (280)

Learning Rough Set Based Classifiers Using Boolean Kernels

2019
In this paper we present a hybridization of Rough Set (RS) theory and Support Vector Machine (SVM). Both approaches to data analysis employ the area between positively and negatively labeled examples, i.e. the “boundary region” in RS and the “margin” in SVM, but they offer different ways to use this concept in the classification problem.
Hung Son Nguyen, Sinh Hoa Nguyen
openaire   +1 more source

Measures associated with granularity and rough approximations in interval-valued information tables based on kernel similarity relations

Information Sciences, 2020
Xi-Ao
exaly  

Kernelized Fuzzy-Rough Anomaly Detection

IEEE Transactions on Fuzzy Systems
Yan Wu, Sihan Wang, Hongmei Chen, Dezhong Peng, Zhong Yuan   +4 more
openaire   +1 more source

Large-Scale Multimodality Attribute Reduction With Multi-Kernel Fuzzy Rough Sets

IEEE Transactions on Fuzzy Systems, 2018
Qinghua Hu, Witold Pedrycz
exaly  

Gaussian kernel based fuzzy rough sets: Model, uncertainty measures and applications

International Journal of Approximate Reasoning, 2010
Qinghua Hu, Lei Zhang, Witold Pedrycz
exaly  

Parameterized attribute reduction with Gaussian kernel based fuzzy rough sets

Information Sciences, 2011
Qinghua Hu
exaly  

Boundedness of the Marcinkiewicz integrals with rough kernel associated to surfaces

Tohoku Mathematical Journal, 2010
Kozo Yabuta
exaly  

Sublinear operators with rough kernel generated by Calderón–Zygmund operators and their commutators on generalized Morrey spaces

Mathematical Notes, 2017
Ferİt GÜrbÜz
exaly  

A note concerning Marcinkiewicz integral with rough kernel

Infinite Dimensional Analysis, Quantum Probability and Related Topics, 2021
exaly  

L2L^{2} boundedness for commutators of fractional differential type Marcinkiewicz integral with rough variable kernel and BMO Sobolev spaces

Georgian Mathematical Journal, 2020
Yanping Chen, Yong Ding
exaly