Browsing by Subject "big data"

Now showing items 1-5 of 5

    • Graph Neural Networks for Computational Chemistry 
      Oztekin, Bora M
      Graph Neural Networks are behind many pharmacological breakthroughs due to their innate ability to learn structural properties of molecules and accelerate high-throughput screening for favorable characteristics that could ...
    • High-Performance External-Memory Mergesort 
      Robert, Nicholas
      Many current solutions for sorting very large files today are incredibly slow. Given that virtually every widespread application requires some form of sorted data, these slow solutions total a massive waste of time and ...
    • Multi-Resolution Approximations of Gaussian Processes for Large Spatial Datasets 
      Gong, Wenlong (2018-10-19)
      Recent advances in remote-sensing techniques enabled accurate location geocoding and encouraged the collection of big spatial datasets over large domains. Data obtained in these settings are usually multivariate, with ...
    • Robust Model-free Variable Screening, Double-parallel Monte Carlo and Average Bayesian Information Criterion 
      Xue, Jingnan (2017-05-30)
      Big data analysis and high dimensional data analysis are two popular and challenging topics in current statistical research. They bring us a lot of opportunities as well as many challenges. For big data, traditional methods ...
    • Survival Analysis for Big Data 
      Afrin, Kahkashan (2020-08-10)
      Survival analysis has emerged as a promising tool in biostatistics for life expectancy prognosis and personalized healthcare. However, its accuracy and potential are limited by the modern big data challenges to which the ...