DataSpace: Browsing DataSpace

Browsing by Subject machine learning

Jump to: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
or enter first few letters:

Showing results 17 to 36 of 47 < previous next >

Issue Date	Title	Author(s)
Apr-2020	Fluorescence Reconstruction Microscopy: Complete Testing Dataset	LaChance, Julienne; Cohen, Daniel
2023	Human-machine Collaboration in Real-World Machine-Learning Applications	Roberts, Claudia Veronica
2016	Integrated Asset Allocation Strategies: Application to Institutional Investors	Lin, Changle
2022	INTEGRATIVE ANALYSIS OF SINGLE CELL MULTI-OMICS DATA	Zhang, Zidong
2021	Learning Novel Physics from Astronomical and Cosmological Observations	Kreisch, Christina Danielle
2021	MACHINE LEARNING AND STATISTICAL ANALYSIS OF THE COLLECTIVE BEHAVIORS OF LARGE TISSUES	LaChance, Julienne
Dec-2019	Machine Learning Characterization of Alfvénic and Sub-Alfvénic Chirping and Correlation With Fast-Ion Loss at NSTX	Woods, B. J. Q.; Duarte, V. N.; Fredrickson, E. D.; Gorelenkov, N. N.; Podestà, M.; Vann, R. G. L.
Dec-2019	Machine Learning Characterization of Alfvénic and Sub-Alfvénic Chirping and Correlation With Fast-Ion Loss at NSTX	Woods, B. J. Q.; Duarte, V. N.; Fredrickson, E. D.; Gorelenkov, N. N.; Podestà, M.; Vann, R. G. L.
2020	Machine learning for multi-subject fMRI analysis	Zhang, Hejia
2021	Machine Learning Methods for Computational Social Science	Tarr, Alexander
2014	Machine Learning on Graphs	Eis, David Jeremy
2017	Mapping Sub-Saharan African Agriculture in High-Resolution Satellite Imagery with Computer Vision & Machine Learning	Debats, Stephanie Renee
2019	MCMC algorithms for sampling from multimodal and changing distributions	Lee, Holden
2016	Multi-scale adaptive representation of signals: models and algorithms	Tai, Cheng
2017	Non-convex Optimization for Machine Learning: Design, Analysis, and Understanding	Ma, Tengyu
2018	Nonconvex Statistical Optimization	Wang, Zhaoran
2016	Optimal and Adaptive Online Learning	Luo, Haipeng
2017	Part I. Engaging Iminium Ions and Radicals in Nickel Catalysis. Part II. Predictive Reaction Modeling Using Machine Learning.	Ahneman, Derek
2022	Predicting Cancer Driver Mutations Using Deep Learning Protein Language Models	Du, Judy
2022	Predicting Protein Interaction Sites Through Machine Learning and Data Aggregation	Etzion-Fuchs, Anat

Showing results 17 to 36 of 47 < previous next >