Tags: Machine Learning

All Categories (1-20 of 24)

  1. Ahmed-Amine Homman

    http://nanohub.org/members/82074

  2. anupam ghosh

    M.Sc. Physics (2007), 1 year experience in neuroscience (2008-09), 1.5 yrs experience in synthesis and characterization of Nickel nano-wires (2010-11), 1 year experience in simulation of...

    http://nanohub.org/members/81944

  3. Applying Machine Learning to Computational Chemistry: Can We Predict Molecular Properties Faster without Compromising Accuracy?

    14 Aug 2017 | Presentation Materials | Contributor(s): Hanjing Xu, Pradeep Kumar Gurunathan

    Non-covalent interactions are crucial in analyzing protein folding and structure, function of DNA and RNA, structures of molecular crystals and aggregates, and many other processes in the fields...

    http://nanohub.org/resources/26904

  4. Claire Battye

    http://nanohub.org/members/169180

  5. Dedy Farhamsa

    http://nanohub.org/members/170299

  6. Gaussian process regression in 1D

    04 Dec 2014 | Tools | Contributor(s): Ilias Bilionis, Alejandro Strachan, Benjamin P Haley, Martin Hunt, Rohit Kaushal Tripathy, Sam Reeve

    Use Gaussian processes to represent x-y data

    http://nanohub.org/resources/gptool

  7. German Felipe Giraldo

    http://nanohub.org/members/85538

  8. Gongting Wu

    http://nanohub.org/members/54904

  9. Ilias Bilionis

    Dr. Ilias Bilionis is an Assistant Professor at the School of Mechanical Engineering, Purdue University. His research is motivated by energy and material science applications and it focuses on the...

    http://nanohub.org/members/107467

  10. IPython Notebooks for Machine Learning

    Collections | 21 May 2017 | Posted by Tanya Faltens

    http://nanohub.org/groups/ncnure2017/collections/technical-resources

  11. Jeremy M Gernand

    Jeremy Gernand is currently an Assistant Professor of Industrial Health and Safety at Penn State University. He is currently pursuing research related to the occupational hazards of exposure to...

    http://nanohub.org/members/61288

  12. Jocelyn Teresia Dunn

    My desire to have a positive impact on society encouraged me to obtain a Master's degree in Biomedical Engineering at Purdue. While working on my thesis focused on Tissue Engineering and...

    http://nanohub.org/members/53042

  13. Juan Sebastian Martinez

    I am a senior in Electronic Engineering and Systems and Computer Engineering at Universidad de los Andes in Bogotá. Throughout my learning, I have gained experience with different programming...

    http://nanohub.org/members/145729

  14. Lukasz Burzawa

    http://nanohub.org/members/147258

  15. Mahika Dubey

    University of Illinois Urbana Champaign Class of 2016 (Urbana, IL) B.S. Computer Engineering (Department of ECE) Minor in Statisics, iFoundry Innovation Certificate Program Monta Vista High School...

    http://nanohub.org/members/80897

  16. Marius Stan

    http://nanohub.org/members/156713

  17. Model Selection Using Gaussian Mixture Models and Parallel Computing

    27 Jul 2016 | Tools | Contributor(s): Tian Qiu, Yiyi Chen, Georgios Karagiannis, Guang Lin

    Model Selection Using Gaussian Mixture Models

    http://nanohub.org/resources/msugmmpc

  18. Model Validation Document for "A Meta-Analysis of Carbon Nanotube Pulmonary Toxicity Studies – How Physical Dimensions and Impurities Affect the Toxicity of Carbon Nanotubes"

    19 Nov 2012 | Papers | Contributor(s): Jeremy M Gernand, Elizabeth Casman

    This document contains model learning statistics, and structure of the models utilized in the paper “A meta-analysis of carbon nanotube pulmonary toxicity studies – How physical dimensions and...

    http://nanohub.org/resources/15901

  19. Muhammad Bilal

    http://nanohub.org/members/179709

  20. Predicting Locations of Pollution Sources using Convolutional Neural Networks

    07 Aug 2017 | Presentation Materials | Contributor(s): Yiheng Chi, Guang Lin, Nickolas D Winovich

    Pollution is a severe problem today, and the main challenge in water pollution controls and eliminations is detecting and locating pollution sources. This research project aims to predict the...

    http://nanohub.org/resources/26948