Results 81 to 90 of about 47,093 (304)
Local Partial Least Square classifier in high dimensionality classification [PDF]
, 2017 A central idea in distance-based machine learning algorithms such k-nearest neighbors and manifold learning is to choose a set of references, or a neighborhood, based on a distance functions to represent the local structure around a query point and use ...
Wang, Hui +3 more
core +1 more source
Advanced Intelligent Discovery, EarlyView.This work establishes a correlation between solvent properties and the charge transport performance of solution‐processed organic thin films through interpretable machine learning. Strong dispersion interactions (δD), moderate hydrogen bonding (δH), closely matching and compatible with the solute (quadruple thiophene), and a small molar volume (MolVol)
Tianhao Tan, Lian Duan, Dong Wang
wiley +1 more source
Anais da Academia Brasileira de Ciências, 2016 An alternative method for the quantification of sulphametoxazole (SMZ) and trimethoprim (TMP) using diffuse reflectance infrared Fourier-transform spectroscopy (DRIFTS) and partial least square regression (PLS) was developed.
Fabiana E.B. da Silva +4 more
doaj +1 more source
Pemodelan Ketahanan Pangan Indonesia dengan Menggunakan Partial Least Square Path Modelling (PLS-PM)
, 2012 More priority to food security for every individual to gain access to nutritious food and its absorption by the achievement of a healthy and productive life.
Ningsi, Besse Arna wisuda
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Advanced Intelligent Discovery, EarlyView.This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley +1 more source
The broader goal of this paper is to provide social researchers with some analytical guidelines when investigating structural equation models (SEM) with predominantly a formative specification. This research is the first to investigate the robustness and
Ringle, Christian M. +3 more
core +2 more sources
, 2015 Buku ini menyajikan penjelasan teoritis, metodologis, dan teknis tentang bagaimana mengintegrasi secara mudah desain penenlitian bisnis dan statitika.
Willy Abdillah & Jogiyanto Hartono
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American Journal of Agricultural Economics, EarlyView.Abstract Germany's Renewable Energy Sources Act (REA), enacted in 2000 and subsequently amended, subsidized national renewable energy production with fixed feed‐in tariffs for renewable energy sources (RE) from wind, solar, and biogas. Empirical studies suggest that the policy was creating windfall effects for landowners and attribute farmland use ...
Lars Isenhardt +6 more
wiley +1 more source
PARTIAL LEAST SQUARES REGRESSION $PLS$ ON INTERVAL DATA
Revista de la Facultad de Ciencias, 2016 Uncertainty in the data can be considered as a numerical interval in which a variable can assume its possible values, this has been known as interval data. In this paper the $PLS$ regression methodology is extended to the case where explanatory, response variables and coefficients regression are intervals.
Carlos Alberto Gaviria-Peña +2 more
openaire +1 more source
Model-building of multiple binary logit using model averaging
, 2018 Many researchers had been carried out on the study of statistical modelling, making it easier for new researchers in many sectors (social sciences, economics, medical, and etc.) to obtain knowledge in order to ease their research study.
Mohd Padzil, Siti Aisyah +2 more
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