University of Cambridge > Talks.cam > Machine Learning @ CUED > An Introduction to Statistical Learning Theory

  Browse A-Z

Log in

University Account External (via Google)

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹ️ Information

An Introduction to Statistical Learning Theory

Download to your calendar using vCal

If you have a question about this talk, please contact Zoubin Ghahramani .

Machine Learning Tutorial Lecture

The tutorial will introduce the framework within which statistical learning theory studies the phenomenon of learning from data. The concept of the Vapnik-Chervonenkis dimension and its relation to probably approximately correct (PAC) learning will be introduced with sketches of some of the proof techniques. The failure of the classical PAC learning to analyse learning in high dimensional feature spaces will lead to the introduction of more advanced techniques that motivate the support vector machine optimisation. A summary of the limitations and potential applications of the techniques will lead into the discussion.

This talk is part of the Machine Learning @ CUED series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Blue World City Islamabad Average on weekdays: 8971.48539519 kWh Hodgkin Huxley Seminar Room, Physiology Building, Department of Physiology, Development and Neuroscience.

Other talks

Title to be confirmed César Milstein Lecture - Title TBC Am I a Member? Auditing Private Machine Learning Morning Tea and Coffee TBC Seminars in Cancer
 

© 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity