CpSc 745 - Advanced Topics in Machine Learning & Data Mining - Spring 2016 Yale

CpSc 745

Advanced Topics in Machine Learning & Data Mining

Spring 2016

Guy Wolf
(guy.wolf@yale.edu)

Data collection and storage technologies have rapidly developed over the last two decades, and increasingly massive amounts of data are being collected in almost every field. This seminar will provide an overview of the advances that have been made in the last decade in machine-learning and automatic data-mining approaches for dealing with the broad scope of modern data-analysis challenges. These include, for example, deep learning, kernel methods, dictionary learning, and bag of words/features.

The seminar will be based on student presentations and discussions of recent prominent publications from leading journals (e.g., MLJ, JMLR, TPAMI, and DMKD) and conferences (e.g., ICML, NIPS, SampTA, and SigKDD/SigMOD) in the field. Students' grades will be based on the quality of these presentations and discussions and on students' written summaries of them.


Schedule:

Date Subject Presented by
Jan 20 Machine learning approach to side channel attacks Guy Wolf
Jan 27 Kernel methods and diffusion maps Guy Wolf & Nicholas Marshall
Feb 03 Single-cell data analysis Smita Krishnaswamy
Feb 10 The scattering transform (classification & feature extraction)     Guy Wolf
Feb 17 Analyzing EEG signals with machine learning tools Yuji Qi
Feb 24 AI in games with deep learning and other approaches Vance Zuo
Mar 02 Barriers to machine learning in medicine Will Meyerson
Mar 09 Utilization of machine learning in CERN Savannah Thais
Mar 16 Spring Break --
Mar 23 Spring Break --
Mar 30 Replaced by an applied math talk on Mar 29 (4:15, AKW 000) Shihab Shamma
Apr 06 Medical data analysis; Brain-Computer Interface applications Alex Cloninger; Yuji Qi
Apr 13 Overview of Deep Learning and recent advances Uri Shaham
Apr 20 PageRank and related advances; Cardiovascular risk analysis with Bayesian network modeling Vance Zuo; Will Meyerson
Apr 27 Word2vec & t-SNE (based on results shown in CERN workshops) Savannah Thais