A recent joint study between Linköping University and the Department of Forensic Genetics and Forensic Toxicology of the ...

Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test accuracy is very low, the model highly overfits the training dataset set ...

Besides building analytical solutions for a large-scale organization, Sree Hari Subhash, an international IT expert, has ...

An impartial look at the debate between artificial intelligence and scientific calibration methods in environmental ...

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

Vol. 21, No. 1, RES CONFERENCE 2016: SPECIAL ISSUE ON MODEL SELECTION AND INFERENCE (2018), pp. C1-C68 (68 pages) We revisit the classic semi-parametric problem of inference on a low-dimensional ...