Legend:
CC = Baltimore Convention Center,
H = Hilton Baltimore
* = applied session ! = JSM meeting theme
529
Wed, 8/2/2017,
10:30 AM -
11:15 AM
CC-Halls A&B
SPEED: Machine Learning — Contributed Poster Presentations
Section on Statistical Learning and Data Science
Chair(s): Jessi Cisewski, Yale University
The Speed portion will take place during Session 214518
1:
Grapheme, Phoneme, Morpheme: Features for Text Classification
—
Taylor Arnold, University of Richmond
2:
Magic Cross-Validation with Applications in Kernel Smooth Margin Classifiers
—
Boxiang Wang ; Hui Zou, University of Minnesota
3:
Regression-Enhanced Random Forests
—
Haozhe Zhang, Iowa State University ; Dan Nettleton, Iowa State University ; Zhengyuan Zhu, Iowa State University
5:
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
6:
Support Vector Machine with Confidence
—
Haomiao Meng, Binghamton University ; Wenbo Wang, Binghamton University ; Xingye Qiao, Binghamton University
7:
Bernstein and Hoeffding Type Inequalities for Regenerative Markov Chains
—
Gabriela Cio?ek, Telecom ParisTech ; Patrice Bertail, Université Paris Ouest Nanterre
9:
High Dimensional Bayesian Optimization with both Continuous and Categorical Explanatory Variables
—
Nima Dolatnia ; Alan Fern, Oregon State University ; Sarah Emerson, Oregon State University
10:
A Robust Residual-Based Approach for Random Forest Regression
—
Andrew Sage, Iowa State University ; Ulrike Genschel, Iowa State University ; Dan Nettleton, Iowa State University
11:
Estimation and Model Selection by Data-Driven Weighted Likelihoods
—
Sam-Erik Walker, Dept. of Math., Univ. of Oslo ; Nils Lid Hjort, University of Oslo
12:
Adaptive Pruning for Random Forests: It Helps
—
Thomas Loughin, Simon Fraser University ; Andrew Henrey, Simon Fraser University
13:
Tree-Based Models for Longitudinal Data
—
Brittany Green, University of Cincinnati ; Peng Wang, University of Cincinnati
14:
Group Fused Multinomial Regression
—
Brad Price, West Virginia University ; Adam Rothman, University of Minnesota ; Charles Geyer, University of Minnesota
15:
Statistical Significance of Clustering
—
Purvasha Chakravarti, Carnegie Mellon University ; Larry Wasserman, Carnegie Mellon ; Sivaraman Balakrishnan, Department of Statistics, CMU
16:
Joint Sentiment Topic Modeling of Text Data
—
Sahba Akhavan Niaki, University of Florida ; George Michailidis, University of Florida
17:
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
18:
The Geometry of Nonlinear Embeddings in Discriminant Analysis with Gaussian Kernels
—
Jiae Kim, Ohio State University ; Yoonkyung Lee, The Ohio State University