Return to Colloquia & Seminar listing
Kernel methods for pattern analysis
Applied Math| Speaker: | Nello Christianini, UC Davis |
| Location: | 693 Kerr |
| Start time: | Fri, Oct 18 2002, 4:10PM |
Description
The talk will review the application of kernel based methods
to pattern analysis problems. In particular it will emphasize
the flexibility and modularity of the resulting algorithms,
and their capability to operate on very general types of
data, from strings to graphs, from text documents to images.
Standard machine learning algorithms like Support Vector Machines
will be discussed, as well as statistical methods like Ridge
Regression and Correlation Analysis. Finally, the talk will
address applications to bioinformatics and
text categorization, and connections with Optimization theory.