Results 241 to 250 of about 614,208 (301)

DDEC: Dual Dependency-Enhanced Contrastive Learning for Sparse Hypergraph Node Classification. [PDF]

Entropy (Basel)
Liu M, Zheng W, Yuan S.
europepmc   +1 more source

Lipid-Lowering Therapy Preferences in the LISTEN-LDL-US Study: A Survey of U.S. Patient Treatment Experiences and Needs. [PDF]

JACC Adv
Nanna MG, Victores A, Snyder K, Bash LD, Krupsky K, McCaig E, King-Concialdi K, Beusterien K, Matta J, Brault MW, Kohli P.   +10 more
europepmc   +1 more source

Editorial Note: Attribute encryption access control method of high dimensional medical data based on fuzzy algorithm. [PDF]

PLoS One
PLOS One Editors.
europepmc   +1 more source

Beyond retrofitting: validating a purpose-built reading diagnostic assessment through a cognitive diagnostic approach. [PDF]

Front Psychol
Sun H, Yin S.
europepmc   +1 more source

Structuring Variability in Human Gait Datasets: A Covariate-Centered Taxonomy and Systematic Review of Image- and Depth-Based Collections. [PDF]

J Imaging
Nunes JF, Moreira PM, Tavares JMRS.
europepmc   +1 more source

Digital compassion fatigue in nurses: an evolutionary concept analysis. [PDF]

Front Public Health
Wu X, Yang X.
europepmc   +1 more source

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Attribute group for attribute reduction

Information Sciences, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hamido Fujita, Yuhua Qian, Xibei Yang
exaly   +3 more sources

Attributes

Games and Economic Behavior, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Diego Klabjan, Wojciech Olszewski, Asher Wolinsky   +2 more
openaire   +2 more sources

Finding circular attributes in attribute grammars

Journal of the ACM, 1999
The problem of finding the circular attributes in an grammar is considered. Two algorithms are proposed: the first is polynomial but yields conservative results while the second is exact but is potentially expontial. It is also shown that finding the circular attributes is harder than testing circularity.
Michael Rodeh, Shmuel Sagiv
openaire   +3 more sources

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 J. R. Justino, Luiz S. Oliveira   +2 more
openaire   +1 more source