scholarly journals Advancing predictive modeling in archaeology: An evaluation of regression and machine learning methods on the Grand Staircase-Escalante National Monument

PLoS ONE ◽  
2020 ◽  
Vol 15 (10) ◽  
pp. e0239424
Author(s):  
Peter M. Yaworsky ◽  
Kenneth B. Vernon ◽  
Jerry D. Spangler ◽  
Simon C. Brewer ◽  
Brian F. Codding
Keyword(s):  
Machine Learning ◽  
Predictive Modeling ◽  
Learning Methods ◽  
Machine Learning Methods ◽  
National Monument

scholarly journals Reviewing artificial intelligence methods for predictive modeling applications

2021 ◽  
Author(s):  
Andreas Sepp
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Predictive Modeling ◽  
Significant Contribution ◽  
Predictive Analytics ◽  
State Of The Art ◽  
Learning Methods ◽  
Machine Learning Methods ◽  
Artificial Intelligence Methods

Artificial intelligence and machine learning methods had significant contribution to the advancement and progress of predictive analytics. This article presents a state of the art of methods and applications of artificial intelligence and machine learning.

scholarly journals Machine Learning Methods Enable Predictive Modeling of Antibody Feature:Function Relationships in RV144 Vaccinees

2015 ◽  
Vol 11 (4) ◽  
pp. e1004185 ◽  
Author(s):  
Ickwon Choi ◽  
Amy W. Chung ◽  
Todd J. Suscovich ◽  
Supachai Rerks-Ngarm ◽  
Punnee Pitisuttithum ◽  
...  
Keyword(s):  
Machine Learning ◽  
Predictive Modeling ◽  
Learning Methods ◽  
Machine Learning Methods

Data integration and predictive modeling methods for multi-omics datasets

2018 ◽  
Vol 14 (1) ◽  
pp. 8-25 ◽  
Author(s):  
Minseung Kim ◽  
Ilias Tagkopoulos
Keyword(s):  
Machine Learning ◽  
Data Integration ◽  
Predictive Modeling ◽  
Predictive Analytics ◽  
Learning Methods ◽  
Modeling Methods ◽  
Machine Learning Methods

We provide an overview of opportunities and challenges in multi-omics predictive analytics with particular emphasis on data integration and machine learning methods.

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