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IBM Research

Machine Learning Seminar 2007

IBM Haifa Labs

Invitation Program Registration Abstracts

May 27, 2007
Organized by IBM Research Lab in Haifa, Israel

Seminar's Agenda PDF version for printing (114 KB)

09:30 Gathering

10:00 Opening Remarks,
Oded Cohn, Director, IBM Haifa Research Lab

10:15 The Knowledgeable Computer: Enhancing Learning Algorithms with Wikipedia-Based Feature Generation,
Shaul Markovitch, Technion - Israel Institute of Technology

10:45 Workstation Capacity Tuning using Reinforcement Learning,
Ran Gilad-Bachrach, Intel

11:15 Continuous Time Markov Networks,
Nir Friedman, Hebrew University, Jerusalem

11:45 Break

12:00 Feature Selection for Categorical Features with Many Values,
Sivan Sabato, IBM Haifa Research Lab

12:30 Keynote: Maximum Entropy and Species Distribution Modeling,
Robert Schapire, Princeton University

13:30 Lunch

14:30 Global Learning with Constraints,
Dan Roth, University of Illinois at Urbana-Champaign

15:00 Support Vector Machine Solvers: Large-Scale, Accurate, and Fast (Pick Any Two),
Elad Yom-Tov, IBM Haifa Research Lab

15:30 Break

15:45 The Uncertainty Principle of Cross-Validation,
Mark Last, Ben-Gurion University of the Negev, Beer-Sheva

16:15 Spotlight Poster Session,
Naftali Tishby, Hebrew University and Elad Yom-Tov, IBM Haifa Research Lab

16:30 Posters and Ice Cream


Related Seminar Links
Visitors information  
Machine Learning in HRL  
Machine Learning Seminar 2005, 2006  

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