Machine Learning Seminar 2008
May 25, 2008
Organized by IBM Haifa Research Lab
PDF version for printing (325 KB)
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9:30 Gathering
10:00 Opening Remarks, Oded Cohn, Director, IBM Haifa Research Lab 10:15 An Overview of Agnostic Learning, Adam Kalai, Georgia Institute of Technology 10:45 Learning for Debugging Large-Scale Web Services, Ira Cohen, HP Labs 11:15 Bi-Level Path Following for Cross Validated Solution of Kernel Quantile Regression, Saharon Rosset, Tel-Aviv University 11:45 Break 12:00 Revealing Structure in Unseeable Data, Noam Slonim, IBM Haifa Research Lab 12:30 Keynote: Learning in an Integrated Intelligent System: Examples from the CALO System, Thomas G. Dietterich, Director of Intelligent Systems Research, Oregon State University |
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13:30 Lunch
14:30 Solving Biological Problems with Probabilistic Graphical Models, Eran Segal, Weizmann Institute of Science 15:00 Machine Learning Techniques inside the Medical Information Hub, Andre Elisseeff, IBM Zurich Research Lab 15:30 Break 15:45 Projection Methods: Algorithmic Structure and Acceleration Techniques, Yair Censor, University of Haifa 16:15 Learning to See in Plato's Cave and Distributed Teachers, Ran Gilad-Bachrach, Intel Research Israel Lab 16:45 Posters and Refreshments, Naftali Tishby, Hebrew University Elad Yom-Tov, IBM Haifa Research Lab |
