== Block-Seminar "Classical Topics in Machine Learning" ==

=== Termine und Informationen ===

||'''Erster Termin für Themenvergabe'''|| 4 november, at 10:00 in MAR 4.033 ||
||'''Termin für Präsentation'''|| TBD ||
||'''Verantwortlich'''|| [[http://www.ml.tu-berlin.de/menue/members/klaus-robert_mueller/|Prof. Dr. Klaus-Robert Müller]] ||
||'''Dozent:''' || Pieter-Jan Kindermans p.kindermans@tu-berlin.de  ||
||'''Sprache'''|| Englisch ||
||'''Anrechenbarkeit''|| Wahlpflicht LV im Modul Maschinelles Lernen I (Informatik M.Sc.) ||
||'''ISIS'''|| ||

This seminar takes a closer look at classical topics in machine learning.

Students will read, understand, evaluate and present selected research papers on machine learning methods in different applications settings. At the end of the semester, each student will present his/her topic in a 20 min talk (+ questions) in English.

The topics of the seminar are:
 * '''Boosting'''
 * '''Neural Networks'''
 * '''Feature Selection'''
 * '''Optimization Algorithms'''
 * '''Independent Component Analysis'''
 * '''Structured Prediction'''
 * '''Kernel Methods'''
 * '''Support Vector Machines'''
 * '''Gaussian Processes'''
 * '''Learning Theory'''
 * '''Multi-Task Learning'''
 * '''Robust Parameter Estimation'''