Results 11 to 20 of about 2,173,075 (279)
Heatmap Regression via Randomized Rounding [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 To appear in ...
Baosheng Yu, Dacheng Tao
openaire +3 more sources
Linear regression with random projections [PDF]
, 2010 We consider ordinary (non penalized) least-squares regression where the regression function is chosen in a randomly generated sub-space GP \subset S of finite dimension P, where S is a function space of infinite dimension, e.g. L2([0, 1]^d).
Maillard, Odalric-Ambrym, Munos, Rémi
core +4 more sources
Test-day or 305-day milk yield for genetic evaluation of Gir cattle [PDF]
Pesquisa Agropecuária Brasileira, 2019 : The objective of this work was to compare genetic evaluations of milk yield in the Gir breed, in terms of breeding values and their accuracy, using a random regression model applied to test-day records or the traditional model (TM) applied to estimates
Rodrigo Junqueira Pereira +5 more
doaj +1 more source
Targeting predictors in random forest regression [PDF]
International Journal of Forecasting, 2023 Random forest regression (RF) is an extremely popular tool for the analysis of high-dimensional data. Nonetheless, its benefits may be lessened in sparse settings due to weak predictors, and a pre-estimation dimension reduction (targeting) step is required. We show that proper targeting controls the probability of placing splits along strong predictors,
Daniel Borup +3 more
openaire +3 more sources
Modeling genetic components of hatch of fertile in broiler breeders
Poultry Science, 2021 Reproductive efficiency such as fertility and hatch of fertile (HoF) are of economic importance and concern to breeding companies becaue of their effects on chick output.
Bayode O. Makanjuola +2 more
doaj +1 more source
Genetic growth potential characterization in the Japanese quail: a meta-analysis
Animal, 2020 The description of the growth of the Japanese quails is necessary to characterize the genetic potential of these birds raised in different countries. Thus, the aim of this study was to describe the genetic potential of Japanese quails by conducting a ...
L.C. Carvalho +6 more
doaj +1 more source
Genetics Selection Evolution, 2002 A random regression model for daily feed intake and a conventional multiple trait animal model for the four traits average daily gain on test (ADG), feed conversion ratio (FCR), carcass lean content and meat quality index were combined to analyse data ...
Künzi Niklaus +3 more
doaj +1 more source
Journal of Dairy Science, 2023 : Residual feed intake is viewed as an important trait in breeding programs that could be used to enhance genetic progress in feed efficiency. In particular, improving feed efficiency could improve both economic and environmental sustainability in the ...
R.B. Stephansen +20 more
doaj +1 more source
EM-REML estimation of covariance parameters in Gaussian mixed models for longitudinal data analysis
Genetics Selection Evolution, 2000 This paper presents procedures for implementing the EM algorithm to compute REML estimates of variance covariance components in Gaussian mixed models for longitudinal data analysis.
Robert-Granié Christèle +2 more
doaj +1 more source
LOGISTIC REGRESSION WITH RANDOM COEFFICIENTS [PDF]
ETS Research Report Series, 1993 ABSTRACTAn approximation to the likelihood for the generalized linear models with random coefficients is derived and is the basis for an approximate Fisher scoring algorithm. The method is illustrated on the logistic regression model for one‐way classification, but it has an extension to the class of generalized linear models and to more complex data ...
openaire +1 more source