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MLSS 2006 - Canberra   

Machine Learning Summer School (MLSS), Canberra 2006

This school is suitable for all levels, both for people without previous knowledge in Machine Learning, and those wishing to broaden their expertise in this area. It will allow the participants to get in touch with international experts in this field. Exchange of students, joint publications and joint projects will result because of this collaboration.
For a research student, the summer school provides a unique, high-quality, and intensive period of study. It is ideally suited for students currently pursuing, or intending to pursue, research in Machine Learning or related fields. Limited scholarships are available for students to cover accommodation and registration costs. If funds are available partial travel support might also be provided.
IT professionals who use Machine Learning will find that the summer school provides relevant knowledge and exposure to contemporary techniques. In addition, they will benefit by direct interaction with top-notch researchers and knowledge workers. Previous experience indicates that personnel from both the industry as well as national laboratories like CSIRO, DSTO benefit immensely from the school.
For academics, the summer school is an excellent opportunity to help getting started in research on novel topics in Machine Learning. It provides an ideal forum for networking and discussions. Academics will also benefit from interaction with IT professionals which will lead to a deeper understanding of real life problems.

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Introduction

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flagIntroductionIntroduction
Douglas Aberdeen Douglas Aberdeen

Lectures

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Bernhard Schölkopf Bernhard Schölkopf
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flagBrain Computer InterfacesBrain Computer Interfaces
Klaus-Robert Müller Klaus-Robert Müller
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flagExponential FamiliesExponential Families
Alexander J. Smola Alexander J. Smola
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