<--- Back to Details
First PageDocument Content
Machine learning / Artificial neural networks / Artificial intelligence / Learning / Applied mathematics / Computational neuroscience / Cybernetics / Computational statistics / Autoencoder / Speech recognition / Backpropagation / Supervised learning
Date: 2015-09-29 11:06:25
Machine learning
Artificial neural networks
Artificial intelligence
Learning
Applied mathematics
Computational neuroscience
Cybernetics
Computational statistics
Autoencoder
Speech recognition
Backpropagation
Supervised learning

UNSUPERVISED NEURAL NETWORK BASED FEATURE EXTRACTION USING WEAK TOP-DOWN CONSTRAINTS Herman Kamper1,2 , Micha Elsner3 , Aren Jansen4 , Sharon Goldwater2 1 CSTR and 2 ILCC, School of Informatics, University of Edinburgh,

Add to Reading List

Source URL: www.cstr.ed.ac.uk

Download Document from Source Website

File Size: 864,20 KB

Share Document on Facebook

Similar Documents

Blockchain For Financial Markets Applications and Services  Harnessing the Power of Artificial Intelligence, Neural Networks and Active Leverage “At its core Qompass will provide a rich ecosystem of API protocols and

Blockchain For Financial Markets Applications and Services Harnessing the Power of Artificial Intelligence, Neural Networks and Active Leverage “At its core Qompass will provide a rich ecosystem of API protocols and

DocID: 1xVar - View Document

Artificial Neural Networks (ANN) - In data pattern recognition for monitoring purpose LTH School of Engineering at Campus Helsingborg Department of Computer Science, Lund University

Artificial Neural Networks (ANN) - In data pattern recognition for monitoring purpose LTH School of Engineering at Campus Helsingborg Department of Computer Science, Lund University

DocID: 1u8fc - View Document

Hermann Ney, RWTH Aachen University On Architectural Issues of Neural Networks in Speech Recognition Recently, artificial neural networks (ANN) were able to improve the performance of speech recognition systems dramatica

Hermann Ney, RWTH Aachen University On Architectural Issues of Neural Networks in Speech Recognition Recently, artificial neural networks (ANN) were able to improve the performance of speech recognition systems dramatica

DocID: 1u7cX - View Document

Stock Market Timing Using Artificial Neural  Networks and Genetic Algorithms    Verification of Results By Monte Carlo Testing Donn S. Fishbein, MD, PhD     Nquant.com

Stock Market Timing Using Artificial Neural  Networks and Genetic Algorithms    Verification of Results By Monte Carlo Testing Donn S. Fishbein, MD, PhD     Nquant.com

DocID: 1u3lI - View Document

Artificial Neural Networks Applied to Taxi Destination Prediction arXiv:1508.00021v2 [cs.LG] 21 SepAlexandre de Brébisson1 , Étienne Simon2 , Alex Auvolat3

Artificial Neural Networks Applied to Taxi Destination Prediction arXiv:1508.00021v2 [cs.LG] 21 SepAlexandre de Brébisson1 , Étienne Simon2 , Alex Auvolat3

DocID: 1u1Li - View Document