Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Robert Bridgman"'
Publikováno v:
Transactions on Computational Science and Computational Intelligence ISBN: 9783030702953
The past several years have seen a strong push toward using Deep Learning systems–Neural Networks with multiple hidden layers. Deep Learning is now used in many machine learning applications and provides leading performance on numerous benchmark ta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c02757c830c48f2a191e79d3537bd8d3
https://doi.org/10.1007/978-3-030-70296-0_26
https://doi.org/10.1007/978-3-030-70296-0_26
Publikováno v:
Transactions on Computational Science and Computational Intelligence ISBN: 9783030702953
Learning systems that adapt to learner capabilities, needs, and preferences have been shown to improve learning outcomes. However, creating systems that can interpret learner state within the context of a dynamic learning environment is costly and of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7184a7f1ffa8de62dc0c71d62527d8a
https://doi.org/10.1007/978-3-030-70296-0_17
https://doi.org/10.1007/978-3-030-70296-0_17
Publikováno v:
2019 International Conference on Computational Science and Computational Intelligence (CSCI).
Simulation-based training would benefit from direct exploitation of observational data obtained during operations. The goal of current research is to develop algorithms and software that transfers data captured in operational settings to training sim
Publikováno v:
Social, Cultural, and Behavioral Modeling ISBN: 9783030217402
SBP-BRiMS
SBP-BRiMS
The tedious, often hand-modeled, activity of designing and implementing simulation scenarios can benefit from modern-day data-driven methods, i.e., machine-learning (ML). We envision a toolchain that exploits information obtained during live operatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8808e891b296350ea3e218b6a5f8cbba
https://doi.org/10.1007/978-3-030-21741-9_7
https://doi.org/10.1007/978-3-030-21741-9_7