Results 11 to 20 of about 4,208,808 (305)

On the Relation between Prediction and Imputation Accuracy under Missing Covariates

Entropy, 2022
Missing covariates in regression or classification problems can prohibit the direct use of advanced tools for further analysis. Recent research has realized an increasing trend towards the use of modern Machine-Learning algorithms for imputation.
Burim Ramosaj, Justus Tulowietzki, Markus Pauly   +2 more
doaj   +3 more sources

New ideas and emerging research: evaluating prediction system accuracy [PDF]

, 2011
BACKGROUND: Prediction e.g. of project cost is an important concern in software engineering. PROBLEM: Although many empirical validations of software engineering prediction systems have been published, no one approach dominates and sense-making of ...
Shepperd, M
core   +6 more sources

Predicting the accuracy of genomic predictions [PDF]

Genetics Selection Evolution, 2021
Abstract Background Mathematical models are needed for the design of breeding programs using genomic prediction. While deterministic models for selection on pedigree-based estimates of breeding values (PEBV) are available, these have not been fully developed for genomic selection, with a key missing component being the ...
Dekkers, Jack C. M., Su, Hailin, Cheng, Jian   +2 more
openaire   +4 more sources

Prediction Accuracy and Autonomy

CoRR, 2022
The tech industry has been criticised for designing applications that undermine individuals' autonomy. Recommender systems, in particular, have been identified as a suspected culprit that might exercise unwanted control over peoples' lives. In this article we try to assess the objectives of recommender system research and offer a nuanced discussion of ...
Anton Angwald, Kalle Areskoug, Alan Said
openaire   +3 more sources

Prediction and Sensitivity Analysis of CO2 Capture by Amine Solvent Scrubbing Technique Based on BP Neural Network

Frontiers in Bioengineering and Biotechnology, 2022
With the rapid development of artificial intelligence, bionic algorithm has been gradually applied in various fields, and neural network has become an important and hot issue in the field of scientific research and engineering in recent years.
Jiangtao Fu, Jiangtao Fu, Jiangtao Fu, Jiangtao Fu, Yufeng Chang, Yufeng Chang, Bijie Huang, Bijie Huang   +7 more
doaj   +1 more source

Predicting milk protein fractions using infrared spectroscopy and a gradient boosting machine for breeding purposes in Holstein cattle

Journal of Dairy Science, 2023
: In recent years, increasing attention has been focused on the genetic evaluation of protein fractions in cow milk with the aim of improving milk quality and technological characteristics.
L.F. Macedo Mota, V. Bisutti, A. Vanzin, S. Pegolo, A. Toscano, S. Schiavon, F. Tagliapietra, L. Gallo, P. Ajmone Marsan, A. Cecchinato   +9 more
doaj   +1 more source

Short-Term Forecasting of Photovoltaic Power Generation Based on Feature Selection and Bias Compensation–LSTM Network

Energies, 2021
In this paper, a hybrid model that considers both accuracy and efficiency is proposed to predict photovoltaic (PV) power generation. To achieve this, improved forward feature selection is applied to obtain the optimal feature set, which aims to remove ...
Cai Tao, Junjie Lu, Jianxun Lang, Xiaosheng Peng, Kai Cheng, Shanxu Duan   +5 more
doaj   +1 more source

Influence Analysis of Simulation Parameters on Numerical Prediction of Compressible External Flow Field Based on NACA0012 Airfoil under Hypersonic Speed

Applied Sciences, 2022
Currently, the influence of numerical parameters on the prediction accuracy of the compressible external flow field characterized by a NACA0012 airfoil under hypersonic speed, especially the influence analyses of the trailing edge shape, the modeling ...
Lu Yang, Guangming Zhang
doaj   +1 more source

Clinical Significance of Gamma-Glutamyltranspeptidase Combined with Carbohydrate-Deficient Transferrin for the Assessment of Excessive Alcohol Consumption in Patients with Alcoholic Cirrhosis

Medicines, 2021
Background: This study aimed to compare the diagnostic performance of carbohydrate-deficient transferrin (CDT) and gamma-glutamyltranspeptidase (γ-GTP) to assess the single and combined benefits of these biological markers for the detection of chronic ...
Akihiko Shibamoto, Tadashi Namisaki, Junya Suzuki, Takahiro Kubo, Satoshi Iwai, Fumimasa Tomooka, Soichi Takeda, Yuki Fujimoto, Masahide Enomoto, Koji Murata, Takashi Inoue, Koji Ishida, Hiroyuki Ogawa, Hirotetsu Takagi, Daisuke Kaya, Yuki Tsuji, Takahiro Ozutsumi, Yukihisa Fujinaga, Masanori Furukawa, Norihisa Nishimura, Yasuhiko Sawada, Koh Kitagawa, Shinya Sato, Hiroaki Takaya, Kosuke Kaji, Naotaka Shimozato, Hideto Kawaratani, Kei Moriya, Takemi Akahane, Akira Mitoro, Hitoshi Yoshiji   +30 more
doaj   +1 more source

Genetic Dissection of Grain Yield of Maize and Yield-Related Traits Through Association Mapping and Genomic Prediction

Frontiers in Plant Science, 2021
High yield is the primary objective of maize breeding. Genomic dissection of grain yield and yield-related traits contribute to understanding the yield formation and improving the yield of maize.
Juan Ma, Yanyong Cao
doaj   +1 more source