Machine Learning Seminar 2009
June 7, 2009
Organized by IBM Haifa Research
Lab
PDF version for printing (52 KB)
Program
9:30 Gathering
10:00 Opening Remarks,
Oded Cohn, Director, IBM Haifa Research Lab
10:15
Dimensionality Reduction with Contaminated Data:
The Very High Dimensional Case
Shie Mannor, Technion – Israel Institute of
Technology
10:45
Behind the SNPs: Systematic Synergy-based Analysis
of Whole-Genome Associations Data Revisits Apparent
Associations
Hani Neuvirth-Telem, IBM Haifa Research Lab
11:15 Testing Properties of Distributions
Ronitt Rubinfeld, Tel-Aviv University
11:45 Break
12:00
Keynote: Semi-Supervised Online Learning - Train
Only When You Need
Nicolò Cesa-Bianchi, Università degli Studi di
Milano
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13:00 Lunch
14:00
Authorship Attribution in the Wild
Moshe Koppel, Bar-Ilan University
14:30
Semantic Categorization into Very Large Taxonomies:
Empirical Investigation
Ron Karidi, Israel Innovation Labs, Microsoft
15:00 Break
15:15 Efficient Scalable Algorithms for Structured
Prediction
Amir Globerson, Hebrew University
15:45
Secrets, Lies, and Email – Information
Classification and Identification for Data Loss
Prevention (DLP)
Lidror Troyansky, Research Fellow, Websense
Inc.
16:15 Posters and Refreshments
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