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Sunday, 08/04/2013
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Nonparametric Bayes Multi-Task Multi-View Learning
Angela Schoergendorfer, IBM T.J. Watson Research Center; Hongxia Yang, IBM T.J. Watson Research Center
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Quantitative Imaging Biomarker and Noise Characteristics in CT
Hyun (Grace) Kim, UCLA; David Gjertson, UCLA School of Public Health; Matthew Brown, UCLA Computer Vision and Imaging Biomarker; Jonathan Goldin, UCLA Radiology
3:25 PM
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Losing $3 Million and Being Happy: A Tale of Money, Lives, and Prediction
Bruce Swihart, Johns Hopkins School of Public Health; Ciprian M. Crainiceanu, The Johns Hopkins University; Brian Caffo, Johns Hopkins University; Rafa Irizarry, JHSPH; Yingying Wei, JHSPH; Jeff Goldsmith, Columbia University; Russell Shinohara, Univ of Pennsylvania; Gagan Sidhu, University of Alberta
4:35 PM
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Two-Dimensional Solution Surface for Weighted Support Vector Machines
Hao Helen Zhang, University of Arizona; Seung Jun Shin, North Carolina State University; Yichao Wu, NC State University
4:55 PM
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Monday, 08/05/2013
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Personalized Medicine and Statistical Learning
Michael R. Kosorok, The University of North Carolina-Chapel Hill
8:35 AM
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Using Pattern Recognition to Classify Pitch Types from MLB PITCHf/x Data
Michael D. Schader, George Mason University
9:00 AM
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Variable Length Markov Chains for Sequential Prediction in Dependence Time Series
Abraham J Wyner, The Wharton School, University of Pennsylvania; Joshua Magarick, University of Pennsylvania
10:35 AM
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The Superior Prediction Accuracy of the Random Generalized Linear Model Predictor (RandomGLM)
Lin Song, University of California, Los Angeles; Peter Langfelder, Genetics, UCLA; Steve Horvath, University of California, Los Angeles
2:20 PM
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Boosting with Fully Grown Trees
J. Brian Gray, University of Alabama; Jie Xu, University of Alabama
3:35 PM
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Tuesday, 08/06/2013
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Model-Based Classifications of High-Throughput Data Review, Design, and Application to a Cancer Clinical Study
AC Cambon, Department of Bioinformatics and Biostatistics, University of Louisville; Shesh Nath Rai, University of Louisville
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Inference for Supervised Learning: Regression Trees and CLTs
Lucas Mentch, Cornell University; Giles Hooker, Cornell University
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Using Machine Learning to Identify Best Treatment Subgroup Characteristics
Barry Eggleston, RTI International; Georgiy Bobashev, RTI International; Nikhil Garge, RTI International
9:20 AM
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Recent Research on Deep Learning for AI
Yoshua Bengio, U. Montreal
11:00 AM
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Big Data Meets Human Understanding : Interpretability in Predictive Modeling with the Bayesian List Machine
Benjamin Letham, MIT; Cynthia Rudin, Massachusetts Institute of Technology; Tyler H. McCormick, University of Washington, Seattle; David Madigan, Columbia University
11:25 AM
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Evaluating Treatment Effectiveness Under Model Misspecification: A Comparison of Targeted Maximum Likelihood Estimation with Bias-Corrected Matching
Noemi Kreif, London School of Hygiene and Tropical Medicine; Susan Gruber, Harvard School of Public Health; Rosalba Radice, Birkbeck, University of London; Richard Grieve, London School of Hygiene and Tropical Medicine; Jasjeet S. Sekhon, University of California, Berkeley
11:55 AM
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Risk Prediction from Electronic Health Record Data: A Naïve Bayes Approach
Julian Wolfson, University of Minnesota
12:05 PM
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Forgery Detection in Paintings
Yi Wang, SAMSI/Duke University; Ingrid Daubechies, Duke University; Gungor Polatkan, Princeton University; Sina Jafarpour, Yahoo! Research
2:45 PM
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