<--- Back to Details
First PageDocument Content
Computational neuroscience / Emerging technologies / Technology / Applied mathematics / Machine learning / Machine learning algorithms / Network architecture / Computational statistics / Reinforcement learning / Artificial neural network / Software-defined networking / Topology
Date: 2018-07-30 16:16:18
Computational neuroscience
Emerging technologies
Technology
Applied mathematics
Machine learning
Machine learning algorithms
Network architecture
Computational statistics
Reinforcement learning
Artificial neural network
Software-defined networking
Topology

DeepConf: Automating Data Center Network Topologies Management with Machine Learning Saim Salman Christopher Streiffer

Add to Reading List

Source URL: cs.brown.edu

Download Document from Source Website

File Size: 2,41 MB

Share Document on Facebook

Similar Documents

Journal of Computational Neuroscience 18, 105–121, 2005 c 2005 Springer Science + Business Media, Inc. Manufactured in The Netherlands.  A Cellular Mechanism for Graded Persistent Activity in a Model Neuron and Its Im

Journal of Computational Neuroscience 18, 105–121, 2005 c 2005 Springer Science + Business Media, Inc. Manufactured in The Netherlands.  A Cellular Mechanism for Graded Persistent Activity in a Model Neuron and Its Im

DocID: 1vcJi - View Document

munich  Bernstein Center for Computational Neuroscience Munich

munich Bernstein Center for Computational Neuroscience Munich

DocID: 1vcv8 - View Document

Blending computational and experimental neuroscience

Blending computational and experimental neuroscience

DocID: 1v9kZ - View Document

Florentin Wörgötter Bernstein Center for Computational Neuroscience Göttingen Florentin Wörgötter studied biology and mathematics at the University of Düsseldorf, Germany. He received a Ph.D. degree, studying

Florentin Wörgötter Bernstein Center for Computational Neuroscience Göttingen Florentin Wörgötter studied biology and mathematics at the University of Düsseldorf, Germany. He received a Ph.D. degree, studying

DocID: 1v914 - View Document

Nonlinear synaptic interaction as a computational resource in the Neural Engineering Framework Andreas Stöckel, Aaron R. Voelker, Chris Eliasmith Centre for Theoretical Neuroscience, University of Waterloo {astoecke, ar

Nonlinear synaptic interaction as a computational resource in the Neural Engineering Framework Andreas Stöckel, Aaron R. Voelker, Chris Eliasmith Centre for Theoretical Neuroscience, University of Waterloo {astoecke, ar

DocID: 1uuia - View Document