Backpropagation without Human Supervision for Visual Control in Quake II Matt Parker and Bobby D. Bryant Abstract— Backpropagation and neuroevolution are used in a Lamarckian evolution process to train a neural network

Source URL: www.cse.unr.edu

Challenging the Internet of the Future with Urban Computing Emanuele Della Valle1,2 , Irene Celino1 , Kono Kim3 , Zhisheng Huang4 , Volker Tresp5 , Werner Hauptmann5 , and Yi Huang5 1

Source URL: kmi.open.ac.uk

• Semantics
• Computational neuroscience
• Computing
• Data management
• Knowledge
• Artificial neural network
• Mathematical psychology
• Semantic Web
• Applied mathematics
• Urban computing
• Ubiquitous computing
• Semantic heterogeneity

A cricket-inspired Neural Network For FeedForward Compensation and Multisensory Integration Paolo Russo, Barbara Webb, Richard Reeve, Paolo Arena, Luca Patan´e Abstract— A nonlinear feedforward compensator was designe

Source URL: homepages.inf.ed.ac.uk

c 2002 Nonlinear Phenomena in Complex Systems ° Oscillatory Phenomena and Stability of Periodic Solutions in a Simple Neural Network with Delay J. Wei1,2 , M. G. Velarde1,3 , and V. A. Makarov1,4

Source URL: www.j-npcs.org

Searching for Minimal Neural Networks in Fourier Space ¨ Jan Koutn´ık, Faustino Gomez, and Jurgen Schmidhuber IDSIA, Galleria 2, 6928 Manno-Lugano, Switzerland University of Lugano & SUPSI, Switzerland

Source URL: people.idsia.ch

• Artificial neural networks
• Applied mathematics
• Computational neuroscience
• Computational statistics
• Statistics
• Cybernetics
• Mathematical psychology
• Recurrent neural network
• JPEG

arXiv:1604.03755v1 [cs.CV] 13 AprVConv-DAE: Deep Volumetric Shape Learning Without Object Labels Abhishek Sharma1 , Oliver Grau2 , Mario Fritz3 1

Source URL: arxiv.org

• Artificial neural networks
• Imaging
• 3D computer graphics
• Artificial intelligence
• Vision
• Computational neuroscience
• 3D imaging
• Deep learning
• Machine learning
• Convolutional neural network
• Voxel
• Feature learning

Continually Adding Self-Invented Problems to the Repertoire: First Experiments with P OWER P LAY Rupesh Kumar Srivastava, Bas R. Steunebrink, Marijn Stollenga and J¨urgen Schmidhuber The Swiss AI Lab IDSIA University of

Source URL: people.idsia.ch

• Artificial neural networks
• Recurrent neural network
• Machine learning
• Perceptron
• Multilayer perceptron
• Creativity
• General Problem Solver

review f o c u s o n b i g data Dimensionality reduction for large-scale neural recordings

Source URL: stat.columbia.edu

• Computational neuroscience
• Neuroscience
• Neural networks
• Multivariate statistics
• Neural coding
• Neural oscillation
• Principal component analysis
• Dimensionality reduction
• Artificial neural network
• Nonlinear dimensionality reduction
• Biological neural network
• Neural ensemble

Lamarckian Neuroevolution for Visual Control in the Quake II Environment Matt Parker and Bobby D. Bryant Abstract— A combination of backpropagation and neuroevolution is used to train a neural network visual controller

Source URL: www.cse.unr.edu

Machine Learning Techniques (機器學習技法) Lecture 12: Neural Network Hsuan-Tien Lin (林軒田)

Source URL: www.csie.ntu.edu.tw