[Ltg] LTG Seminar: [Ying Gua, November 22, E6A 357]

[Rolf Schwitter]

----
LTG Seminar
 - see: http://www.clt.mq.edu.au/Events/Seminars.html

Monday, November 22, 2004 at 11am
Macquarie Uni, E6A 357
----

Speaker: Ying Gua
Title: Support Vector Machines

Support vector machine (SMV) algorithm was first introduced in 1992 
(COLT-92), and was greatly developed ever since. It is now an important and 
active field of all Machine Learning research, and has successful 
applications in many fields (bioinformatics, text, handwriting recognition, 
etc).

Because SVMs are in fact linear classifiers in a feature space defined by a 
kernel function, I will talk about the Kernel machines first, including 
Linear Learning Machines, Kernel induced feature spaces, generalisation 
theory, and the optimisation theory. Then the introduction of SVMs as a 
particular instance will be given. I will also give at least one example of 
how SVMs are used in some classification problems, e.g. face recognition.