A dynamic model of training transfer
Sign Up to like & getrecommendations! Published in 2019 at "Human Resource Management Review"
DOI: 10.1016/j.hrmr.2017.11.004
Abstract: Abstract We expand our understanding of the training transfer process by developing the Dynamic Transfer Model (DTM). We develop and examine linkages between intentions to transfer, the initial attempts to utilize training, and the integration… read more here.
Keywords: dynamic model; training; transfer; model training ... See more keywords
Revisiting Dead Leaves Model: Training With Synthetic Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2021.3132289
Abstract: Deep neural networks targeting stereo disparity estimation have recently surpassed the performance of hand-crafted traditional models. However, training these networks require large labeled databases for obtaining accurate disparity estimates. In this letter, we address the… read more here.
Keywords: revisiting dead; leaves model; synthetic data; dead leaves ... See more keywords
A Self-Adaptive Bell–LaPadula Model Based on Model Training With Historical Access Logs
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2018.2807793
Abstract: In currently popular access control models, the security policies and regulations never change in the running system process once they are identified, which makes it possible for attackers to find the vulnerabilities in a system,… read more here.
Keywords: model based; system; bell lapadula; model ... See more keywords
Eiffel: Efficient and Fair Scheduling in Adaptive Federated Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2022.3187365
Abstract: Emerging machine learning (ML) technologies, in combination with the increasing computational power of mobile devices, lead to the extensive adoption of ML-based applications. Different from conventional model training that needs to collect all the user… read more here.
Keywords: federated learning; efficient fair; eiffel efficient; model training ... See more keywords
Evaluation of Process Communication Model training for surgeons and other healthcare professionals: a survey
Sign Up to like & getrecommendations! Published in 2021 at "Anz Journal of Surgery"
DOI: 10.1111/ans.16351
Abstract: J. Med. 1987; 317: 141–5. 13. van der Graaf R, van Delden JJ. Equipoise should be amended, not abandoned. Clin. Trials 2011; 8: 408–16. 14. Johnson N, Lilford RJ, Brazier W. At what level of… read more here.
Keywords: process communication; training surgeons; evaluation process; process ... See more keywords
Model and Training Method of the Resilient Image Classifier Considering Faults, Concept Drift, and Adversarial Attacks
Sign Up to like & getrecommendations! Published in 2022 at "Algorithms"
DOI: 10.3390/a15100384
Abstract: Modern trainable image recognition models are vulnerable to different types of perturbations; hence, the development of resilient intelligent algorithms for safety-critical applications remains a relevant concern to reduce the impact of perturbation on model performance.… read more here.
Keywords: model training; training method; method resilient; image ... See more keywords