Results 31 to 40 of about 29,110,946 (332)

Algebraic shortcuts for leave-one-out cross-validation in supervised network inference [PDF]

, 2020
Supervised machine learning techniques have traditionally been very successful at reconstructing biological networks, such as protein-ligand interaction, protein-protein interaction and gene regulatory networks.
Airola, Antti, De Baets, Bernard, Pahikkala, Tapio, Stock, Michiel, Waegeman, Willem   +4 more
core   +1 more source

PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies

Annals of Internal Medicine, 2019
Prediction relates to estimating the probability of something currently unknown. In the context of medical research, prediction typically concerns either diagnosis (probability of a certain condition being present but not yet detected) or prognosis ...
R. Wolff, K. Moons, R. Riley, P. Whiting, M. Westwood, G. Collins, J. Reitsma, J. Kleijnen, S. Mallett   +8 more
semanticscholar   +1 more source

Improvement of the machine learning-based corrosion rate prediction model through the optimization of input features

, 2021
The corrosion resistance of low-alloy steel seriously influences its performance, particularly as a class of materials widely used in marine environments. In this study, we collected the marine corrosion data of low-alloy steels and established corrosion
Yupeng Diao, Luchun Yan, K. Gao
semanticscholar   +1 more source

Predictive Model Selection

Journal of the Royal Statistical Society Series B: Statistical Methodology, 1995
SUMMARY We consider the problem of selecting one model from a large class of plausible models. A predictive Bayesian viewpoint is advocated to avoid the specification of prior probabilities for the candidate models and the detailed interpretation of the parameters in each model.
Laud, Purushottam W., Ibrahim, Joseph G.
openaire   +2 more sources

The Standard Model Prediction for epsilon'/epsilon [PDF]

, 2000
We present a detailed analysis of epsilon'/epsilon within the Standard Model, taking into account the strong enhancement through final-state interactions identified in refs. [1] and [2]. The relevant hadronic matrix elements are fixed at leading order in
't Hooft, 't Hooft, A. Pich, Alavi-Harati, Altarelli, Amorós, Amorós, Atwood, Bardeen, Bardeen, Bardeen, Bardeen, Barr, Belkov, Bernard, Bernreuther, Bernreuther, Bertolini, Bertolini, Bertolini, Bertolini, Bertolini, Bertolini, Bijnens, Bijnens, Bijnens, Bijnens, Bijnens, Bijnens, Bijnens, Bosch, Buchalla, Buras, Buras, Buras, Buras, Buras, Buras, Buras, Buras, Buras, Buras, Burkhardt, Büchler, Büchler, Callan, Ceccucci, Chen, Chen, Chen, Cheng, Chetyrkin, Chetyrkin, Chetyrkin, Cirigliano, Cirigliano, Cirigliano, Cirigliano, Ciuchini, Ciuchini, Ciuchini, Ciuchini, Ciuchini, Ciuchini, Ciuchini, Colangelo, Crewther, Cronin, de Rafael, de Rafael, Dominguez, Donoghue, E. Pallante, Ecker, Ecker, Ecker, Ecker, Ecker, Ecker, Ecker, Fabbrichesi, Fanti, Gaillard, Gardner, Gasser, Gasser, Gasser, Gasser, Gasser, Gell-Mann, Gibbons, Gilman, Gilman, Golterman, Grahan, Grinstein, Guerrero, Gupta, Hambye, Hambye, Hambye, Hambye, Herrlich, Herrlich, Herrlich, Höcker, I. Scimemi, Jamin, Jamin, Jamin, Jamin, Kambor, Kambor, Kambor, Kambor, Knecht, Knecht, Knecht, Knecht, Lellouch, Lin, Lubicz, Lusignoli, Maltman, Maltman, Maltman, Masiero, Meissner, Mele, Muskhelishvili, Narison, Narison, Omnès, Pallante, Pallante, Pallante, Pallante, Pallante, Parodi, Peris, Peris, Pich, Pich, Pich, Pich, Pich, Pich, Pich, Pich, Pich, Pich, Pich, Prades, Prades, Rodrigo, Rosner, Stueckelberg, Symanzik, Symanzik, Truong, Unal, Vainshtein, Vainshtein, Weinberg, Wetzel, Wilson, Witten, Witten, Witten, Wolfenstein, Wu, Zimmermann   +171 more
core   +7 more sources

A Carbon Price Prediction Model Based on the Secondary Decomposition Algorithm and Influencing Factors

Energies, 2021
Carbon emission reduction is now a global issue, and the prediction of carbon trading market prices is an important means of reducing emissions. This paper innovatively proposes a second decomposition carbon price prediction model based on the nuclear ...
Jianguo Zhou, Shiguo Wang
semanticscholar   +1 more source

Modelling: Predictive yield [PDF]

Nature, 2013
Farmers would benefit from better long-range weather forecasts. What else can science provide to help them decide what to plant?
openaire   +2 more sources

HOPE: an arbitrary-order non-oscillatory finite-volume shallow water dynamical core with automatic differentiation [PDF]

Geoscientific Model Development
This study presents the High Order Prediction Environment (HOPE), an automatically differentiable, non-oscillatory finite-volume dynamical core for shallow water equations on the cubed-sphere grid.
L. Zhou, L. Zhou, L. Zhou, W. Xue, X. Shen, X. Shen   +5 more
doaj   +1 more source

Reliability and validity in comparative studies of software prediction models [PDF]

, 2005
Empirical studies on software prediction models do not converge with respect to the question "which prediction model is best?" The reason for this lack of convergence is poorly understood.
Myrtveit, I, Shepperd, MJ, Stensrud, E
core   +1 more source

Development and internal validation of a prediction model for the presence of tinnitus in a Dutch population-based cohort

Frontiers in Neurology, 2023
ObjectivesIn this study we aim to develop and internally validate a prediction model on tinnitus experience in a representative sample of the Dutch general population.MethodsWe developed a multivariable prediction model using elastic net logistic ...
Maaike M. Rademaker, Maaike M. Rademaker, Adriana L. Smit, Adriana L. Smit, Robert J. Stokroos, Robert J. Stokroos, Maarten van Smeden, Inge Stegeman, Inge Stegeman   +8 more
doaj   +1 more source