Results 31 to 40 of about 3,487,202 (255)

Arabic L2 readability assessment: Dimensionality reduction study

open access: yesJournal of King Saud University: Computer and Information Sciences, 2022
Readability is a measure that associates a written text to a reader’s skill or grade level. Readability assessment is very important in the field of second or foreign language (L2) learning.
Naoual Nassiri   +2 more
doaj   +1 more source

Structural health monitoring by combining machine learning and dimensionality reduction techniques [PDF]

open access: yes, 2019
Structural Health Monitoring is of major interest in many areas of structural mechanics. This paper presents a new approach based on the combination of dimensionality reduction and data-mining techniques able to differentiate damaged and undamaged ...
Chinesta, Francisco   +9 more
core   +1 more source

Regional-scale groundwater analysis with dimensionality reduction [PDF]

open access: yesNatural Hazards and Earth System Sciences
Given the importance of groundwater for freshwater provision and groundwater-dependent ecosystems, understanding climate effects on groundwater changes at a regional scale is essential.
M. Somogyvári   +9 more
doaj   +1 more source

Dimensionality reduction in data from LASER applications [PDF]

open access: yesمجلة جامعة الانبار للعلوم الصرفة, 2012
Redundant variables not only in LASER applications, but in all experimental works are disturbing statistical analysis as a result of highly correlation among them.
Imad H.Aboud, Qassim M. Jameel
doaj   +1 more source

Quantum resonant dimensionality reduction

open access: yesPhysical Review Research
Quantum computing is a promising candidate for accelerating machine learning tasks. Limited by the control accuracy of current quantum hardware, reducing the consumption of quantum resources is the key to achieving quantum advantage.
Fan Yang   +6 more
doaj   +1 more source

Linear Dimensionality Reduction: What Is Better?

open access: yesData
This research paper focuses on dimensionality reduction, which is a major subproblem in any data processing operation. Dimensionality reduction based on principal components is the most used methodology. Our paper examines three heuristics, namely Kaiser’
Mohit Baliyan, Evgeny M. Mirkes
doaj   +1 more source

Feeding, Fear, and Acceptance: Caregivers’ Experiences of Nutritional Support During Childhood Cancer Treatment

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose To explore caregivers' experiences and perceptions of the nutritional challenges faced by children and adolescents undergoing cancer treatment, including oral intake and the use of nutritional support. Methods This was a qualitative study based on focus groups with parents and caregivers at a Brazilian pediatric oncology hospital ...
Danyelle Apparecida Balsamão Marques   +5 more
wiley   +1 more source

Dimensionality reduction for probabilistic movement primitives [PDF]

open access: yes, 2014
Humans as well as humanoid robots can use a large number of degrees of freedom to solve very complex motor tasks. The high-dimensionality of these motor tasks adds difficulties to the control problem and machine learning algorithms.
C. Torras (17921516)   +3 more
core   +4 more sources

Non-negative Dimensionality Reduction for Mammogram Classification [PDF]

open access: yesJournal of Electrical and Electronics Engineering, 2009
Directly classifying high dimensional datamay exhibit the ``curse of dimensionality'' issue thatwould negatively influence the classificationperformance with an increase in the computationalload, depending also on the classifier structure.
I. Buciu, A. Gacsadi
doaj  

Dimensionality reduction methods.

open access: yes, 2019
Dimensionality reduction methods.
Susan Holmes (243177)   +1 more
core   +1 more source

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