kwiecień 4th, 2006

Cracow Grid Seminar

Kategoria wpisu: - Prelekcje, Wszystkie, Wydarzenia: - Maciej Frużyński @ 21:47

Akademickie Centrum Komputerowe CYFRONET AGH i Katedra Informatyki AGH zapraszają na kolejne Cracow Grid Seminar.

Czwartek 06.04.2006 godz. 14.00
Katedra Informatyki AGH - s.429 C2 IVp

Marcin Wolter
IFJ PAN, Krakow

“Support Vector Machines, Neural Networks and Kernel Methods in the analysis
of HEP data”

High energy physicists started to use multivariate techniques and have had considerable success in using them. Typical areas of application are background suppression (classification) and parameter estimation (regression) where a physical quantity is extracted from a set of directly measured observables. The reason to apply statistical learning multivariate methods is, in most cases, simply the lack of knowledge about the mathematical dependence of the quantity of interest on the relevant measured variables. Multivariate methods are taking into account correlations between variables, therefore the better performance can be reached.

Three most popular multivariate algorithms are presented: neural networks, kernel algorithms based on the probability distributions approximated by kernel functions and the quite new method: Support Vector Machines (SVM). In SVM algorithm data are transformed to a new high dimensional space. This allows the linear separation of data by a separating hyperplane defined by a set of support vectors.

After introducing the selected multivariate algorithms our applications to the identification of soft electrons and tau leptons in the ATLAS experiment will be presented.