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May 27, 2007
Organized by IBM Research Lab in Haifa, Israel
Seminar's Agenda PDF version for printing (114 KB)
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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
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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
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