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| ## page was renamed from Main/SS14_SeminarMLBE == Block-Seminar "Machine Learning for Biomedical Engineering" == |
== Block-Seminar "Classical Topics in Machine Learning" == |
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| ||'''Erster Termin für Themenvergabe'''|| Montag, 28.04.2014, 10:00 in MAR 4.033 || ||'''Termin für Präsentation'''|| Dienstag, 02.07.2014, 9:00 in MAR 4.044 || ||'''Verantwortlich'''|| Prof. Dr. Klaus-Robert Müller || |
||'''Erster Termin für Themenvergabe'''|| Freitag, 1.11.2013, 10:00 in MAR 4.033 || ||'''Verantwortlich'''|| [[http://ml.cs.tu-berlin.de/en/klaus/index.html|Prof. Dr. Klaus-Robert Müller]] || |
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This seminar takes a closer look at specific applications of machine learning algorithms in the field of biomedical engineering. 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: * '''Brain–computer interfaces''' [[attachment:MLBE14_bci.pdf]] (additional material: [[attachment:MLBE14_bci.zip]]) * '''Bag-of-words representation''' [[attachment:MLBE14_bow.pdf]] * '''Analysis of Changes''' [[attachment:MLBE14_change.pdf]] * '''Image-Based Cytometry''' [[attachment:MLBE14_cytometry.pdf]] * '''ECG Analysis''' [[attachment:MLBE14_ecg.pdf]] * '''Myoelectric Control of Prostheses''' [[attachment:MLBE14_emg.pdf]] * '''Fingerprints''' [[attachment:MLBE14_fingerprint.pdf]] * '''Histopathological Image Analysis''' [[attachment:MLBE14_histo.pdf]] * '''Hidden Markov Models''' [[attachment:MLBE14_hmm.pdf]] * '''Group ICA''' [[attachment:MLBE14_ica.pdf]] (additional material: [[attachment:MLBE14_icaAdditional.pdf]]) * '''Monte Carlo Methods''' [[attachment:MLBE14_mc.pdf]] * '''Analysis of Microarray Data''' [[attachment:MLBE14_microarray.pdf]] (additional material: [[attachment:MLBE14_microarrayAdditional.pdf]]) * '''Quality assessment using EEG''' [[attachment:MLBE14_quality.pdf]] (additional material: [[attachment:MLBE14_qualityAdditional.pdf]]) * '''Segmentation of MRI''' [[attachment:MLBE14_mri.pdf]] * '''Biomedical Sensors''' [[attachment:MLBE14_sensors.pdf]] (additional material: [[attachment:MLBE14_sensorsAdditional.pdf]]) * '''Wavelets Analysis''' [[attachment:MLBE14_wavelets.pdf]] |
||'''Anrechenbarkeit''|| Wahlpflicht LV im Modul Maschinelles Lernen I (Informatik M.Sc.) || ||'''ISIS'''||https://www.isis.tu-berlin.de/2.0/course/view.php?id=559|| |
Block-Seminar "Classical Topics in Machine Learning"
Termine und Informationen
Erster Termin für Themenvergabe |
Freitag, 1.11.2013, 10:00 in MAR 4.033 |
Verantwortlich |
|
Dozent: |
Wojciech Samek (wojciech.samek@tu-berlin.de, Raum MAR 4.060) |
Sprache |
Englisch |
Anrechenbarkeit |
Wahlpflicht LV im Modul Maschinelles Lernen I (Informatik M.Sc.) |
ISIS |