Statistics: It's Essential
July 29 - August 3, 2017
Baltimore Convention Center
JSM 2017 Online Program
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* = applied session ! = JSM meeting theme
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supervised learning
returned 7 record(s)
Sunday, 07/30/2017
Local Nearest Neighbour Classification with Applications to Semi-Supervised Learning
Timothy I. Cannings, Universtiy of Southern California; Thomas Berrett, University of Cambridge; Richard J. Samworth, Statistical Laboratory, University of Cambridge
4:05 PM
Monday, 07/31/2017
There Has to Be an Easier Way: a Simple Alternative for Parameter Tuning of Supervised Learning Methods
Jill Lundell
10:35 AM
Classification Using the Morlet Transform for fMRI Data
Debashis Ghosh, Colorado School of Public Health; Manish Dalwani, Colorado School of Medicine
11:25 AM
Visualizing the Effects of Predictor Variables in Black Box Supervised Learning Models
Daniel Apley, Northwestern University
11:50 AM
Tuesday, 08/01/2017
Learning with Latent Trajectory Classes
Chen-Pin Wang, UTHSCSA; Booil Jo, Stanford University
2:25 PM
Wednesday, 08/02/2017
Bernstein and Hoeffding Type Inequalities for Regenerative Markov Chains
Gabriela Cio?ek, Telecom ParisTech; Patrice Bertail, Université Paris Ouest Nanterre
Bernstein and Hoeffding Type Inequalities for Regenerative Markov Chains
Gabriela Cio?ek, Telecom ParisTech; Patrice Bertail, Université Paris Ouest Nanterre
9:05 AM