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Block-Seminar "Classical Topics in Machine Learning"

Termine und Informationen

Erster Termin für Themenvergabe	Montag, 03.11.2014, 10:00 in MAR 4.033
Verantwortlich	Prof. Dr. Klaus-Robert Müller
Dozent:	Dr. Wojciech Samek (wojciech.samek@hhi.fraunhofer.de, Raum MAR 4.060)
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 25-30 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

IDA Wiki: Main/WS14_SeminarClassicalTopicsInML (last edited 2014-11-27 16:12:31 by WojciechWojcikiewicz)

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-||'''Erster Termin für Themenvergabe'''|| Freitag, 03.11.2014, 10:00 in MAR 4.033 ||
+||'''Erster Termin für Themenvergabe'''|| Montag, 03.11.2014, 10:00 in MAR 4.033 ||
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-||'''Dozent:''' || Wojciech Samek (wojciech.samek@tu-berlin.de,  Raum MAR 4.060)  ||
+||'''Dozent:''' || Dr. Wojciech Samek (wojciech.samek@hhi.fraunhofer.de,  Raum MAR 4.060)  ||
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-||'''ISIS'''||https://www.isis.tu-berlin.de/2.0/course/view.php?id=559||
+||'''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 25-30 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'''