Results 61 to 70 of about 5,279,386 (290)

Hybrid data attribute reduction based on neighborhood rough set

Journal of Intelligent Systems
The attribute reduction in rough set theory has considerable value in areas such as pattern classification, knowledge extraction, and data mining. Hybrid information systems usually contain discrete classification attributes and continuous numerical ...
Wei Caixin, Wang Pei, Li Qingguo
doaj   +1 more source

Multilabel Feature Selection Based on Fisher Score with Center Shift and Neighborhood IntuitionisticFuzzy Entropy [PDF]

Jisuanji kexue
The edge samples in the existing multilabel Fisher score models affect the classification effect of the algorithm.It has the available virtues of stronger expression and resolution when using neighborhood intuitive fuzzy entropy to deal with uncertain ...
SUN Lin, MA Tianjiao
doaj   +1 more source

Neighborhood Rough Set based Multi-document Summarization

CoRR, 2021
This research paper proposes a novel Neighbourhood Rough Set based approach for supervised Multi-document Text Summarization (MDTS) with analysis and impact on the summarization results for MDTS. Here, Rough Set based LERS algorithm is improved using Neighborhood Rough Set which is itself a novel combination called Neighborhood-LERS to be experimented ...
openaire   +3 more sources

Information veins and re-sampling with rough set theory

, 2008
Rough Set Theory (RST), since its introduction in Pawlak (1982), continues to develop as an effective tool in data mining. Within a set theoretical structure, its remit is closely concerned with the classification of objects to decision attribute values,
Benjamin Griffiths, Griffiths, Benjamin
core   +1 more source

Comprehensive Characterization of 98 Chinese Cases of Genetic Creutzfeldt‐Jakob Disease With T188K Mutation

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To characterize the demographic, clinical, and laboratory features of the Chinese patients of genetic Creutzfeldt‐Jakob disease with T188K variant (T188K‐gCJD), the most common subtype of genetic prion diseases (gPrDs) in China. Methods In this nationwide retrospective study, data from 98 genetically confirmed T188K‐gCJD patients ...
Chun‐Jie Li, Dong‐Lin Liang, Li‐Ping Gao, Wei‐Wei Zhang, Wei Zhou, A. Ruhan, Bing Xu, Run‐Dong Cao, Kang Xiao, Cao Chen, Qi Shi, Xiao‐Ping Dong   +11 more
wiley   +1 more source

Neurochemical Endpoints to Inform Early‐Stage Trials of Spinocerebellar Ataxia 2 and 3 in a Multisite Setting

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Neurochemical levels measured by brain MR spectroscopy (MRS) have been proposed as endpoints for clinical trials in early‐stage spinocerebellar ataxia (SCA) trials. We tested their trial‐readiness by quantifying neurochemicals in three affected brain regions in early‐stage cohorts of SCA2 and SCA3, examining their reproducibility in ...
James M. Joers, Yaqiao Wei, Dinesh K. Deelchand, Adam Berrington, Young Woo Park, Guita Banan, Michal Povazan, Jens T. Rosenberg, André J. W. van der Kouwe, Tetsuo Ashizawa, Khalaf O. Bushara, Chiadi U. Onyike, Sub H. Subramony, Jeremy D. Schmahmann, Brian J. Soher, Peter B. Barker, Thomas H. Mareci, Eva‐Maria Ratai, Lynn E. Eberly, Gülin Öz   +19 more
wiley   +1 more source

A new type of soft multi rough sets

Demonstratio Mathematica
Soft multi rough sets which are a hybrid model combining rough sets with soft multisets are defined by using soft multi rough approximation operators. Soft multi rough sets can be seen as a generalized rough set model based on soft multisets.
Güzel Ergül Zehra
doaj   +1 more source

Feature Reduction for Power System Transient Stability Assessment Based on Neighborhood Rough Set and Discernibility Matrix

Energies, 2018
In machine learning-based transient stability assessment (TSA) problems, the characteristics of the selected features have a significant impact on the performance of classifiers.
Bingyang Li, Jianmei Xiao, Xihuai Wang
doaj   +1 more source

Comparing Rough Set Theory with Multiple Regression Analysis as Automated Valuation Methodologies [PDF]

This paper focuses on the problem of applying rough set theory to mass appraisal. This methodology was first introduced by a Polish mathematician, and has been applied recently as an automated valuation methodology by the author.
Maurizio d’Amato
core  

Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella, Veria Vacchiano, Vittorio Velucci, Stefano Zoccolella, Rocco Liguori, Giovanni Defazio   +5 more
wiley   +1 more source