Beyond backpropagate through time: Efficient model‐based training through time‐splitting
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22928
Abstract: Model‐based policy gradient (MBPG) has been employed to seek an approximate solution to the optimal control problem. However, there is coupling between adjacent states due to temporal dependencies, making the training time grow linearly with… read more here.
Keywords: training time; time; training; time splitting ... See more keywords
Analysis of hourly cooling load prediction accuracy with data-mining approaches on different training time scales
Sign Up to like & getrecommendations! Published in 2019 at "Sustainable Cities and Society"
DOI: 10.1016/j.scs.2019.101717
Abstract: Abstract Data-mining approaches for improving building cooling load predictions are presented and analyzed on different training time scales (T-1 to T-6) in this paper. Multiple linear regression (MLR), auto regression (AR), autoregressive exogenous (ARX) model,… read more here.
Keywords: training time; model; prediction; prediction accuracy ... See more keywords
Comparative usability study of the dulaglutide single-use pen versus the insulin degludec FlexTouch® among self-injection-naïve patients with type 2 diabetes mellitus in Japan
Sign Up to like & getrecommendations! Published in 2018 at "Current Medical Research and Opinion"
DOI: 10.1080/03007995.2018.1448260
Abstract: Abstract Objective: This study assessed training time with the dulaglutide single-use pen (SUP) and the insulin degludec disposable prefilled pen (FlexTouch®) in self-injection–naïve patients with type 2 diabetes mellitus (T2DM) in Japan. Methods: This multi-center,… read more here.
Keywords: injection; training time; use; dulaglutide sup ... See more keywords
An Intelligent Approach to Improving the Performance of Threat Detection in IoT
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3273160
Abstract: Internet of Things (IoT) systems are beneficial to our daily lives and have become increasingly important. A complete IoT system includes devices, sensors, networks, software, and other essential components necessary for operation and interconnection. However,… read more here.
Keywords: training time; improving performance; approach improving; iot ... See more keywords
Weight Update Skipping: Reducing Training Time for Artificial Neural Networks
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"
DOI: 10.1109/jetcas.2021.3127907
Abstract: Artificial Neural Networks (ANNs) are known as state-of-the-art techniques in Machine Learning (ML) and have achieved outstanding results in data-intensive applications, such as recognition, classification, and segmentation. These networks mostly use deep layers of convolution… read more here.
Keywords: time; training time; update skipping; weight update ... See more keywords
Optimizing surgical training in the time of COVID‐19—Victorian regional teaching hospital experience
Sign Up to like & getrecommendations! Published in 2022 at "ANZ Journal of Surgery"
DOI: 10.1111/ans.17472
Abstract: Reductions in elective surgery due to the COVID‐19 pandemic led to a paralleled reduction in patient based surgical training opportunities. read more here.
Keywords: time covid; training time; surgical training; training ... See more keywords
Brain Decoding Using fMRI Images for Multiple Subjects through Deep Learning
Sign Up to like & getrecommendations! Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/1124927
Abstract: Substantial information related to human cerebral conditions can be decoded through various noninvasive evaluating techniques like fMRI. Exploration of the neuronal activity of the human brain can divulge the thoughts of a person like what… read more here.
Keywords: fmri images; training time; brain; deep learning ... See more keywords
Is Marathon Training Harder than the Ironman Training? An ECO-method Comparison
Sign Up to like & getrecommendations! Published in 2017 at "Frontiers in Physiology"
DOI: 10.3389/fphys.2017.00298
Abstract: Purpose: To compare the absolute and relative training load of the Marathon (42k) and the Ironman (IM) training in recreational trained athletes. Methods: Fifteen Marathoners and Fifteen Triathletes participated in the study. Their performance level… read more here.
Keywords: training load; ironman training; training time; time ... See more keywords