Thomas Parnell

1. Breadth-first, Depth-next Training of Random Forests
   2019/10/15 by Andreea Anghel, Anghel, Andreea, Nikolas Ioannou +8 · 2 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · #Cancer-related molecular mechanisms research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Neural Networks and Applications
2. Sampling Acquisition Functions for Batch Bayesian Optimization
   2019/03/22 by Alessandro De Palma, Celestine Mendler-Dünner, De Palma, Alessandro +7 · 2 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
3. Large-Scale Stochastic Learning using GPUs
   2017/02/22 by Thomas Parnell, Celestine Dünner, Parnell, Thomas +6 · 1 citation
   Computer Science · #Distributed #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
4. SnapBoost: A Heterogeneous Boosting Machine
   2020/06/17 by Thomas Parnell, Andreea Anghel, Parnell, Thomas +13 · 1 citation
   Computer Science · #Algorithms and Data Compression #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)