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Automatic Machine Learning (AUTO-AUTO-ENCODER!)
Keywords Deep learning, autoencoder, meta learning, AutoML  +
Level Master  +
OneLineSummary Automatic configuration algorithm for autoencoders  +
Prerequisites Artificial Intelligence and Learning Systems courses,  +
References The following paper summarises the algoritThe following paper summarises the algorithm configuration in the different domain : http://aad.informatik.uni-freiburg.de/papers/16-AUTOML-AutoNet.pdf This paper presents the initial idea behind Bayesian optimization for estimating parameter: https://www.cs.ubc.ca/~hutter/papers/10-TR-SMAC.pdf Previous master thesis on applying autoencoder for histogram data: Robin Ng, “Efficient Implementation of Histogram Dimension Reduction using Deep Learning”, 2017.sion Reduction using Deep Learning”, 2017.
StudentProjectStatus Open  +
Supervisors Sławomir Nowaczyk + , Sepideh Pashami +
TimeFrame Fall 2018  +
Title Automatic Machine Learning (AUTO-AUTO-ENCODER!)  +
Categories StudentProject  +
Modification dateThis property is a special property in this wiki. 14 October 2018 17:55:54  +
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Automatic Machine Learn (AUTO-AUTO-ENCODER!) + , Name of the new projectAutomatic Machine Learn (AUTO-AUTO-ENCODER!) + redirect page
 

 

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