direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Inhalt des Dokuments

Masterarbeitensvorschlag

Logistic-Heaviside Multi-Class Gaussian Process Classification

You will have to develop a Gaussian process model based on the paper  "Scalable Multi-Class Gaussian Process Classification using Expectation Propagation". The idea is to change the approximation in order to make the inference much more scalable, by using the logistic link and the Polya-Gamma augmentation. You should be familiar with Gaussian Processes and Variational Inference. For more information contact Theo Galy-Fajou

Masterarbeiten

Efficient stochastic control with Kullback Leibler costs using kernel methods
Zitatschlüssel Sokoloski:2013:ESC
Autor Sacha Sokoloski
Jahr 2013
Notiz Submitted
Schule TU Berlin
Typ der Publikation Master Thesis
Link zur Publikation Download Bibtex Eintrag

Zusatzinformationen / Extras

Direktzugang

Schnellnavigation zur Seite über Nummerneingabe