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Activity Details

461 Wed, 8/2/2017, 8:30 AM - 10:20 AM CC-323
SPEED: Machine Learning — Contributed Speed
Section on Statistical Learning and Data Science
Chair(s): William Fithian, UC Berkeley Statistics
The Poster portion will take place during Session 214592
8:35 AM Grapheme, Phoneme, Morpheme: Features for Text Classification — Taylor Arnold, University of Richmond
8:40 AM Magic Cross-Validation with Applications in Kernel Smooth Margin Classifiers — Boxiang Wang ; Hui Zou, University of Minnesota
8:45 AM Regression-Enhanced Random Forests — Haozhe Zhang, Iowa State University ; Dan Nettleton, Iowa State University ; Zhengyuan Zhu, Iowa State University
8:55 AM Whiteout: Gaussian Adaptive Regularization Noise in Deep Neural Networks — Yinan Li, University of Notre Dame ; Ruoyi Xu, University of Science and Technology of China ; Fang Liu, University of Notre Dame
9:00 AM Support Vector Machine with Confidence — Haomiao Meng, Binghamton University ; Wenbo Wang, Binghamton University ; Xingye Qiao, Binghamton University
9:05 AM Bernstein and Hoeffding Type Inequalities for Regenerative Markov Chains — Gabriela Cio?ek, Telecom ParisTech ; Patrice Bertail, Université Paris Ouest Nanterre
9:15 AM High Dimensional Bayesian Optimization with both Continuous and Categorical Explanatory Variables — Nima Dolatnia ; Alan Fern, Oregon State University ; Sarah Emerson, Oregon State University
9:20 AM A Robust Residual-Based Approach for Random Forest Regression — Andrew Sage, Iowa State University ; Ulrike Genschel, Iowa State University ; Dan Nettleton, Iowa State University
9:30 AM Estimation and Model Selection by Data-Driven Weighted Likelihoods — Sam-Erik Walker, Dept. of Math., Univ. of Oslo ; Nils Lid Hjort, University of Oslo
9:35 AM Adaptive Pruning for Random Forests: It Helps — Thomas Loughin, Simon Fraser University ; Andrew Henrey, Simon Fraser University
9:40 AM Tree-Based Models for Longitudinal Data — Brittany Green, University of Cincinnati ; Peng Wang, University of Cincinnati
9:45 AM Group Fused Multinomial Regression — Brad Price, West Virginia University ; Adam Rothman, University of Minnesota ; Charles Geyer, University of Minnesota
9:50 AM Statistical Significance of Clustering — Purvasha Chakravarti, Carnegie Mellon University ; Larry Wasserman, Carnegie Mellon ; Sivaraman Balakrishnan, Department of Statistics, CMU
9:55 AM Joint Sentiment Topic Modeling of Text Data — Sahba Akhavan Niaki, University of Florida ; George Michailidis, University of Florida
10:00 AM Building Comprehensive Searches Through a Machine Learning Approach for Systematic Reviews — Corrado Lanera, University of Padova ; Ileana Baldi, University of Padova ; Clara Minto, University of Padova ; Dario Gregori, University of Padova ; Paola Berchialla, University of Torino
10:05 AM The Geometry of Nonlinear Embeddings in Discriminant Analysis with Gaussian Kernels — Jiae Kim, Ohio State University ; Yoonkyung Lee, The Ohio State University
10:10 AM Floor Discussion
 
 
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