Deep learning for Alzheimer's disease [electronic resource] : Mapping large-scale histological tau protein for neuroimaging biomarker validation
	Tác giả:
	Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Science Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2021
	Bộ sưu tập: Metadata
	ddc:  616.831  Thêm vào giỏ

Rule based systems for big data : a machine learning approach
	Tác giả: Han Liu, Mihaela Cocea, Alexander Gegov
	Xuất bản: Cham: Springer, 2015
	Bộ sưu tập: Công nghệ thông tin
	eBook (pdf) ddc:  004.21  Thêm vào giỏ

Applied Text Analysis with Python : Enabling Language-Aware Data Products with Machine Learning
	Tác giả: Benjamin Bengfort, Rebecca Bilbro, Tony Ojeda
	Xuất bản: Beijing: OReilly Media, 2018
	Bộ sưu tập: Công nghệ thông tin
	eBook (pdf) ddc:  006.35  Thêm vào giỏ

Utilizing physics-based input features within a machine learning model to predict wind speed forecasting error [electronic resource]
	Tác giả:
	Xuất bản: Richland Wash Oak Ridge Tenn: Pacific Northwest National Laboratory US Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2021
	Bộ sưu tập: Metadata
	ddc:  333.9  Thêm vào giỏ

The importance of round-robin validation when assessing machine-learning-based vertical extrapolation of wind speeds [electronic resource]
	Tác giả:
	Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2020
	Bộ sưu tập: Metadata
	ddc:  621.531  Thêm vào giỏ

The importance of atmospheric turbulence and stability in machine-learning models of wind farm power production [electronic resource]
	Tác giả:
	Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2019
	Bộ sưu tập: Metadata
	ddc:  621.5  Thêm vào giỏ

Machine Learning Reveals the Critical Interactions for SARS-CoV-2 Spike Protein Binding to ACE2 [electronic resource]
	Tác giả:
	Xuất bản: Oak Ridge Tenn Oak Ridge Tenn: Oak Ridge National Laboratory Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2021
	Bộ sưu tập: Metadata
	ddc:  610.28  Thêm vào giỏ

DDxNet [electronic resource] : a deep learning model for automatic interpretation of electronic health records, electrocardiograms and electroencephalograms
	Tác giả:
	Xuất bản: Washington DC Oak Ridge Tenn: United States National Nuclear Security Administration Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2020
	Bộ sưu tập: Metadata
	ddc:  616.12  Thêm vào giỏ

A Review of Current Machine Learning Methods Used for Cancer Recurrence Modeling and Prediction [electronic resource]
	Tác giả:
	Xuất bản: Los Alamos NM Oak Ridge Tenn: Los Alamos National Laboratory Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2016
	Bộ sưu tập: Metadata
	ddc:  571.6  Thêm vào giỏ

Machine Learning Reduced Order Model for Cost and Emission Assessment of a Pyrolysis System [electronic resource]
	Tác giả:
	Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2021
	Bộ sưu tập: Metadata
	ddc:  621.47  Thêm vào giỏ