A new similarity measure between intuitionistic fuzzy sets and the positive definiteness of the similarity matrix

Y Song, X Wang - Pattern Analysis and Applications, 2017 - Springer
As a generation of fuzzy set theory, intuitionistic fuzzy (IF) set theory has received
considerable attention for its capability on dealing with uncertainty. Similarity measures of IF …

Recognition task with feature selection and weighted majority voting based on interval-valued fuzzy sets

R Burduk - … and Applications: 4th International Conference, ICCCI …, 2012 - Springer
This paper presents the recognition algorithm with random selection of features. In the
proposed procedure of classification the choice of weights is one of the main problems. In …

Independent component analysis in a motor imagery brain computer interface

I Rejer, P Górski - IEEE EUROCON 2017-17th International …, 2017 - ieeexplore.ieee.org
There are a lot of scientific papers reporting a significant increase in classification accuracy
after applying independent component analysis (ICA) for cleaning EEG data. Most of them …

EEG classification for MI-BCI with independent component analysis

I Rejer, P Górski - Proceedings of the 10th International Conference on …, 2018 - Springer
Abstract Independent Component Analysis (ICA) is often used in EEG signal processing but
only when the matrix of channels is big enough. If the matrix is small, the artifacts usually …

A unified framework for peak detection and alignment: application to HR-MAS 2D NMR spectroscopy

A Belghith, C Collet, L Rumbach… - Signal, Image and Video …, 2013 - Springer
In this paper, we propose a new scheme to detect and align simultaneously peaks that
correspond to different metabolites within a biopsy. The proposed peak detection and …

Combined bayesian classifiers applied to spam filtering problem

K Wrótniak, M Woźniak - International Joint Conference CISIS'12-ICEUTE´ …, 2013 - Springer
This paper focuses on the problem of designing effective spam filters using combined Näive
Bayes classifiers. Firstly, we describe different tokenization methods which allow us for …

New adaboost algorithm based on interval-valued fuzzy sets

R Burduk - Intelligent Data Engineering and Automated Learning …, 2012 - Springer
This paper presents a new extension of AdaBoost algorithm based on interval-valued fuzzy
sets. This extension is for the weights used in samples of the training sets. The original …

[引用][C] Machine learning classifiers: Evaluation of the performance in online reviews

I Pak, PL Teh - Indian Journal of Science and Technology, 2016