High-resolution Climate Data From an Improved GIS-based Regression Technique for South Korea
Sign Up to like & getrecommendations! Published in 2018 at "KSCE Journal of Civil Engineering"
DOI: 10.1007/s12205-017-1441-9
Abstract: This study presents an improved GIS-based regression model that incorporates an adaptive effective radius algorithm into the structure of previous regression model (Kongju National University Regression Model, KNU/RM), named of IGISRM. The performances of IGISRM… read more here.
Keywords: based regression; regression; gis based; precipitation ... See more keywords
Prediction of water solubility and Setschenow coefficients by tree-based regression strategies
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Molecular Liquids"
DOI: 10.1016/j.molliq.2019.03.029
Abstract: Abstract The experimental determination of water solubility (log S0) and Setschenow coefficient (km) of a compound is a time-consuming activity, which often needs large amounts of expensive substances. This work aims at establishing two “open-source”… read more here.
Keywords: based regression; water solubility; setschenow coefficients; water ... See more keywords
The true role that suppressor effects play in condition-based regression analysis: None. A reply to Fiedler (2021).
Sign Up to like & getrecommendations! Published in 2022 at "Journal of personality and social psychology"
DOI: 10.1037/pspp0000428
Abstract: Condition-based regression analysis (CRA) is a statistical method for testing self-enhancement effects. That is, CRA indicates whether, in a set of empirical data, people with higher values on the directed discrepancy self-view S minus reality… read more here.
Keywords: regression analysis; fiedler 2021; condition based; suppressor ... See more keywords
An Iterative Robust Kernel-Based Regression Method for Simultaneous Single Image Super-Resolution and Denoising
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2926330
Abstract: In this paper, we present a uniform mathematical framework based on a robust kernel-based regression for the task of simultaneous single-image super-resolution and denoising. The given model is formulated as a convex $\ell _{1}$ sparse… read more here.
Keywords: kernel based; resolution; based regression; robust kernel ... See more keywords
Distributed Traveltime Tomography Using Kernel-Based Regression in Seismic Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3211538
Abstract: Distributed subsurface imaging is of high relevance for autonomous seismic surveys by multiagent networks as envisioned for future planetary missions. The goal is to achieve a cooperative reconstruction of a subsurface image at each agent… read more here.
Keywords: subsurface; kernel based; distributed traveltime; traveltime tomography ... See more keywords
A Data-Driven Model-Based Regression Applied to Panchromatic Sharpening
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.3007824
Abstract: Image fusion is growing interest in recent years, thanks to the huge amount of data acquired everyday by sensors on board of satellite platforms. The enhancement of the spatial resolution of a multispectral (MS) image… read more here.
Keywords: regression; based regression; model based; image ... See more keywords
Concave likelihood-based regression with finite-support response variables.
Sign Up to like & getrecommendations! Published in 2022 at "Biometrics"
DOI: 10.1111/biom.13760
Abstract: We propose a unified framework for likelihood-based regression modeling when the response variable has finite support. Our work is motivated by the fact that, in practice, observed data are discrete and bounded. The proposed methods… read more here.
Keywords: regression; finite support; likelihood; likelihood based ... See more keywords
Ontology-Based Regression Testing: A Systematic Literature Review
Sign Up to like & getrecommendations! Published in 2021 at "Applied Sciences"
DOI: 10.3390/app11209709
Abstract: Web systems evolve by adding new functionalities or modifying them to meet users’ requirements. Web systems require retesting to ensure that existing functionalities are according to users’ expectations. Retesting a web system is challenging due… read more here.
Keywords: based regression; regression testing; ontology; ontology based ... See more keywords
Machine Learning-Based Regression Framework to Predict Health Insurance Premiums
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph19137898
Abstract: Artificial intelligence (AI) and machine learning (ML) in healthcare are approaches to make people’s lives easier by anticipating and diagnosing diseases more swiftly than most medical experts. There is a direct link between the insurer… read more here.
Keywords: health; machine learning; insurance; health insurance ... See more keywords