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Browsing by Subject machine learning
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Showing results 11 to 30 of 53
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Issue Date
Title
Author(s)
2018
Deoxyfluorination with Sulfonyl Fluorides
Nielsen, Matthew K
2018
Dimension Reduction for Heterogeneous Populations of Oscillators
BERTALAN, THOMAS
2019
Efficient Higher-Order Optimization for Machine Learning
Bullins, Brian Anderson
2014
Estimation of Travel Time Distribution and Travel Time Derivatives
Wan, Ke
2020
Exploring the potential of real-time fMRI to change thought trajectories
Mennen, Anne Caitlin
2012
Extracting Information from High-Dimensional Data: Probabilistic Modeling, Inference and Evaluation
Polatkan, Gungor
2015
Feature Screening for the Lasso
Wang, Yun
2-Mar-2020
Fluorescence Reconstruction Microscopy Data: Keratinocyte (10x) Phase to Nuclei (DAPI)
LaChance, Julienne
;
Cohen, Daniel
24-Feb-2020
Fluorescence Reconstruction Microscopy Data: MDCK (20x) DIC to Nuclei (DAPI) and E-Cadherin (RFP)
LaChance, Julienne
;
Cohen, Daniel
Apr-2020
Fluorescence Reconstruction Microscopy: Complete Testing Dataset
LaChance, Julienne
;
Cohen, Daniel
2024
Getting ready for new Data: Approaches to some Challenges in Cosmology
Thiele, Leander Friedrich
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
2023
Latent variable models for characterizing the dynamic structure underlying complex behaviors
Stone, Iris Reid
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