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Showing results 13 to 32 of 35 < previous   next >
Issue DateTitleAuthor(s)
2015Feature Screening for the LassoWang, Yun
2-Mar-2020Fluorescence Reconstruction Microscopy Data: Keratinocyte (10x) Phase to Nuclei (DAPI)LaChance, Julienne; Cohen, Daniel
24-Feb-2020Fluorescence Reconstruction Microscopy Data: MDCK (20x) DIC to Nuclei (DAPI) and E-Cadherin (RFP)LaChance, Julienne; Cohen, Daniel
Apr-2020Fluorescence Reconstruction Microscopy: Complete Testing DatasetLaChance, Julienne; Cohen, Daniel
2016Integrated Asset Allocation Strategies: Application to Institutional InvestorsLin, Changle
Dec-2019Machine Learning Characterization of Alfvénic and Sub-Alfvénic Chirping and Correlation With Fast-Ion Loss at NSTXWoods, B. J. Q.; Duarte, V. N.; Fredrickson, E. D.; Gorelenkov, N. N.; Podestà, M.; Vann, R. G. L.
Dec-2019Machine Learning Characterization of Alfvénic and Sub-Alfvénic Chirping and Correlation With Fast-Ion Loss at NSTXWoods, B. J. Q.; Duarte, V. N.; Fredrickson, E. D.; Gorelenkov, N. N.; Podestà, M.; Vann, R. G. L.
2020Machine learning for multi-subject fMRI analysisZhang, Hejia
2014Machine Learning on GraphsEis, David Jeremy
2017Mapping Sub-Saharan African Agriculture in High-Resolution Satellite Imagery with Computer Vision & Machine LearningDebats, Stephanie Renee
2019MCMC algorithms for sampling from multimodal and changing distributionsLee, Holden
2016Multi-scale adaptive representation of signals: models and algorithmsTai, Cheng
2017Non-convex Optimization for Machine Learning: Design, Analysis, and UnderstandingMa, Tengyu
2018Nonconvex Statistical OptimizationWang, Zhaoran
2016Optimal and Adaptive Online LearningLuo, Haipeng
2017Part I. Engaging Iminium Ions and Radicals in Nickel Catalysis. Part II. Predictive Reaction Modeling Using Machine Learning.Ahneman, Derek
2013Provable Algorithms for Machine Learning ProblemsGe, Rong
2017Relaxing the Implementation of Embedded Sensing Systems through Machine Learning and Statistical OptimizationWang, Zhuo
2015Scalable inference of discrete data: user behavior, networks and genetic variationGopalan, Prem Krishna
2019Strategies for predicting, understanding, and controlling colloidal crystallizationReinhart, Wesley F