Results 231 to 240 of about 4,817,340 (289)

Three term attribute description of Atanassov's Intuitionistic Fuzzy Sets as a basis of attribute selection

IEEE International Conference on Fuzzy Systems, 2021
We propose here a new proposal for attribute selection in the models expressed by the intuitionistic fuzzy sets. We further develop our previous paper in which the approach was already extended and the first computational tests were performed, i.e., the ...
E. Szmidt, J. Kacprzyk, Paweł Bujnowski
semanticscholar   +1 more source

An integrated intrusion detection system using correlation‐based attribute selection and artificial neural network

Transactions on Emerging Telecommunications Technologies, 2020
Serious concerns regarding vulnerability and security have been raised as a result of the constant growth of computer networks. Intrusion detection systems (IDS) have been adopted by network administrators to provide essential network security ...
I. Thaseen, J. Banu, K. Lavanya, Muhammad Rukunuddin Ghalib, K. Abhishek   +4 more
semanticscholar   +1 more source

Adaptive Feature Selection With Augmented Attributes

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
In many dynamic environment applications, with the evolution of data collection ways, the data attributes are incremental and the samples are stored with accumulated feature spaces gradually. For instance, in the neuroimaging-based diagnosis of neuropsychiatric disorders, with emerging of diverse testing ways, we get more brain image features over time.
Chenping Hou, Ruidong Fan, Ling-Li Zeng, Dewen Hu   +3 more
openaire   +2 more sources

R-Ensembler: A greedy rough set based ensemble attribute selection algorithm with kNN imputation for classification of medical data

Comput. Methods Programs Biomed., 2020
BACKGROUND AND OBJECTIVE Retrieving meaningful information from high dimensional dataset is an important and challenging task. Normally, medical dataset suffers from several issues such as curse of dimensionality problem, uncertainty, presence of missing
R. Bania, A. Halder
semanticscholar   +1 more source

Selecting syntactic attributes for authorship attribution

The 2011 International Joint Conference on Neural Networks, 2011
In this work we present a methodology to select syntactic attributes for authorship attribution. The approach takes into account a multi-objective genetic algorithm and a Support Vector Machine classifier and it operates in a wrapper mode. Through a series of comprehensive experiments on a database composed of 3000 short articles written in Portuguese ...
Paulo Varela, Edson Justino, Luiz S. Oliveira   +2 more
openaire   +1 more source

Ensemble belief rule base modeling with diverse attribute selection and cautious conjunctive rule for classification problems

Expert systems with applications, 2020
Belief rule-based systems have demonstrated its advantages in solving complicated problems with uncertain information. However, the rule combinatorial explosion problem is still a great challenge for belief rule bases (BRBs) when a problem involves a ...
Long-Hao Yang, Fei-Fei Ye, Yingming Wang
semanticscholar   +1 more source

Correlates of Selected Physical Attributes

Research Quarterly. American Association for Health, Physical Education and Recreation, 1969
(1969). Correlates of Selected Physical Attributes. Research Quarterly. American Association for Health, Physical Education and Recreation: Vol. 40, No. 3, pp. 637-639.
L J, Dowell, C W, Landiss, E, Mamaliga
openaire   +2 more sources

Learning refined attribute-aligned network with attribute selection for person re-identification

Neurocomputing, 2020
Effective person re-identification (Re-ID) is often required in real applications. While most exiting approaches either assume the detected pedestrian bounding box well-aligned or utilize limited human structural information (pose, attention ...
Yuxuan Shi, H. Ling, Lei Wu, Jialie Shen, P. Li   +4 more
semanticscholar   +1 more source

Seismic attribute selection for machine-learning-based facies analysis

Geophysics, 2020
Interpreters face two main challenges in seismic facies analysis. The first challenge is to define, or “label,” the facies of interest. The second challenge is to select a suite of attributes that can differentiate a target facies from the background ...
Jie Qi, Bo Zhang, Bin Lyu, K. Marfurt
semanticscholar   +1 more source

Broad Learning with Attribute Selection for Rheumatoid Arthritis

IEEE International Conference on Systems, Man and Cybernetics, 2020
Rheumatoid arthritis (RA) patients have osteoarticular deformation in the early stage, and suffer worse from joint deformity and even loss of function in the later stage.
Jie Yang, Shigao Huang, Rui Tang, Quanyi Hu, Kun Lan, Han Wang, Qi Zhao, S. Fong   +7 more
semanticscholar   +1 more source