Results 41 to 50 of about 3,376,231 (263)

Reliable Prediction Errors for Deep Neural Networks Using Test-Time Dropout [PDF]

open access: yes, 2019
While the use of deep learning in drug discovery is gaining increasing attention, the lack of methods to compute reliable errors in prediction for Neural Networks prevents their application to guide decision making in domains where identifying unreliable predictions is essential, e.g. precision medicine. Here, we present a framework to compute reliable
arxiv   +1 more source

Predictability Tests Robust against Parameter Instability [PDF]

open access: yesarXiv, 2023
We consider Wald type statistics designed for joint predictability and structural break testing based on the instrumentation method of Phillips and Magdalinos (2009). We show that under the assumption of nonstationary predictors: (i) the tests based on the OLS estimators converge to a nonstandard limiting distribution which depends on the nuisance ...
arxiv  

Population and species neighbor identity impact trait–trait relationships and plant performance

open access: yesPopulation Ecology, EarlyView.
We evaluated how populations and species identity influence plant performance and trait outcomes in mixtures, and assessed trait variation among populations of two forb species native to the western United States (Dieteria canescens and Heterotheca villosa) following three interaction treatments (single‐population monoculture, two‐population mixture ...
Alicia J. Foxx   +2 more
wiley   +1 more source

The role of ultrasound in the prediction of successful induction of labour

open access: yesAdvances in Human Biology, 2019
Background: So far, there has not been conducted the study in Iran about the role of ultrasound in the prediction of successful induction of labour. Therefore, the aim of this study was to investigate the role of sonographic parameters that may help ...
Sara Nejateslami Fard   +3 more
doaj   +1 more source

From Values to Opinions: Predicting Human Behaviors and Stances Using Value-Injected Large Language Models [PDF]

open access: yesarXiv, 2023
Being able to predict people's opinions on issues and behaviors in realistic scenarios can be helpful in various domains, such as politics and marketing. However, conducting large-scale surveys like the European Social Survey to solicit people's opinions on individual issues can incur prohibitive costs.
arxiv  

Effects of chronic browsing on life‐history traits of an irruptive large herbivore population

open access: yesPopulation Ecology, EarlyView.
This study aimed to determine the relationship between diet quality, body mass, and size (hind foot length), and female reproduction and sought to identify the mechanism by which high density under severe food limitations is maintained. Our results demonstrated that sika deer introduced to Nakanoshima Island have maintained high densities through high ...
Koichi Kaji   +9 more
wiley   +1 more source

Serbian lymphoma study group: Demografic characteristics of 257 patients with follicular lymphoma [PDF]

open access: yesVojnosanitetski Pregled, 2015
Background/Aim. Follicular lymphoma (FL) is a B-cell tumor usually with indolent clinical course, yet in some cases the course of the disease can be very aggressive.
Simonović Olivera   +4 more
doaj   +1 more source

Derivation of Generalized Equations for the Predictive Value of Sequential Screening Tests [PDF]

open access: yesarXiv, 2020
Using Bayes' Theorem, we derive generalized equations to determine the positive and negative predictive value of screening tests undertaken sequentially. Where a is the sensitivity, b is the specificity, $\phi$ is the pre-test probability, the combined positive predictive value, $\rho(\phi)$, of $n$ serial positive tests, is described by: $\rho(\phi)
arxiv  

The Predictive Value of Short Intelligence Tests.

open access: yesJournal of Applied Psychology, 1921
n ...
Hansen, C. F., Ream, M. J.
openaire   +2 more sources

Is Genetic Testing of Value in Predicting and Treating Obesity? [PDF]

open access: yesNorth Carolina Medical Journal, 2013
Obesity is a multifactorial disease resulting from the interaction between genetic factors and lifestyle. Identification of rare genetic variations with strong effects on obesity has been useful in diagnosing and designing personalized therapy for early-onset or syndromic obesity.
Maggie C.Y. Ng, Donald W. Bowden
openaire   +2 more sources

Home - About - Disclaimer - Privacy