Results 31 to 40 of about 25,321,415 (248)

DeAR: Debiasing Vision-Language Models with Additive Residuals [PDF]

open access: yesComputer Vision and Pattern Recognition, 2023
Large pre-trained vision-language models (VLMs) reduce the time for developing predictive models for various vision-grounded language downstream tasks by providing rich, adaptable image and text representations. However, these models suffer from societal
Ashish Seth   +2 more
semanticscholar   +1 more source

gratia: An R package for exploring generalized additive models [PDF]

open access: yesJournal of Open Source Software
Generalized additive models (GAMs, Hastie&Tibshirani, 1990; Wood, 2017) are an extension of the generalized linear model that allows the effects of covariates to be modelled as smooth functions.
Gavin L. Simpson
semanticscholar   +1 more source

Inference and computation with generalized additive models and their extensions

open access: yesTest (Madrid), 2020
Regression models in which a response variable is related to smooth functions of some predictor variables are popular as a result of their appealing balance between flexibility and interpretability.
S. Wood
semanticscholar   +1 more source

Semiparametric Integrated and Additive Spatio-Temporal Single-Index Models

open access: yesMathematics, 2023
In this paper, we introduce two semiparametric single-index models for spatially and temporally correlated data. Our first model has spatially and temporally correlated random effects that are additive to the nonparametric function, which we refer to as ...
Hamdy F. F. Mahmoud, Inyoung Kim
doaj   +1 more source

Order-of-Addition Modeling

open access: yesStatistica Sinica, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Hierarchical generalized additive models in ecology: an introduction with mgcv

open access: yesPeerJ, 2019
In this paper, we discuss an extension to two popular approaches to modeling complex structures in ecological data: the generalized additive model (GAM) and the hierarchical model (HGLM).
Eric J. Pedersen   +3 more
semanticscholar   +1 more source

Network reconstruction using nonparametric additive ODE models. [PDF]

open access: yesPLoS ONE, 2014
Network representations of biological systems are widespread and reconstructing unknown networks from data is a focal problem for computational biologists.
James Henderson, George Michailidis
doaj   +1 more source

Inheritance of the birth weights in crosses between Istrian, Awassi, East-Friesian and Travnik Pramenka sheep in Croatia: a case study [PDF]

open access: yesJournal of Central European Agriculture, 2021
The purpose of the study was to estimate the influence of the additive and non-additive genetic effects on the birth weight, using two different crossbreed models. Data on 1176 birth weights were collected. The animals were crosses, with different ratios
Ivan Pocrnic, Alen Dzidic
doaj   +1 more source

Generalized additive models for location, scale and shape

open access: yes, 2005
Summary.  A general class of statistical models for a univariate response variable is presented which we call the generalized additive model for location, scale and shape (GAMLSS).
R. Rigby, D. Stasinopoulos
semanticscholar   +1 more source

Determinants of Nutrient Demand: A Nonparametric Analysis

open access: yesJournal of Agricultural and Resource Economics, 1995
The influence of socioeconomic variables on nutrient intake is studied using nonparametric procedures that admit estimation of multivariate functions. The analysis indicates a nonlinear relation between intake, age, education, and income.
Cyrus A. Ramezani
doaj   +1 more source

Home - About - Disclaimer - Privacy