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Activity Details

318 * Tue, 8/6/2013, 8:30 AM - 10:20 AM CC-525a
Clustering and Classification — Contributed Papers
Section on Statistical Learning and Data Mining
Chair(s): Dehan Kong, North Carolina State University
8:35 AM Malware Detection Using Nonparametric Bayesian Clustering and Classification Techniques Yimin Kao, Department of Statistics, North Carolina State University ; Brian J. Reich, North Carolina State University ; Curtis Storlie, Los Alamos National Laboratory
8:50 AM The Population Goal of Modal Clustering Jose E. Chacon, Universidad De Extremadura
9:05 AM Distinctness Evaluation of Unknown Clustering Structure Ewa Nowakowska, Institute of Computer Science, PAS
9:20 AM Semi-Supervised Model-Based Clustering with Regularized Covariance Matrix Estimation Brad Price, University of Minnesota ; Charles J. Geyer, University of Minnesota ; Adam J. Rothman, University of Minnesota
9:35 AM Unsupervised Learning: Assessing Cluster Significance Through a Combination of Cross-Validation and Resampling Werner Stuetzle, University of Washington
9:50 AM Time Course Classification of Treatment Response for Psoriatic Patients Joel Correa Da Rosa, Rockefeller University ; James G. Krueger, Rockefeller University ; Mayte Suarez-Farinas, Rockefeller University
10:05 AM Estimation of Logistic Regression Parameter with Partially Labeled Data Keiji Takai, Kansai University

2013 JSM Online Program Home

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