R. CANT et al: EVALUATION OF IMAGE QUALITY EVALUATION OF IMAGE QUALITY USING NEURAL NETWORKS R.J. CANT AND A.R. COOK Simulation and Modelling Group, Department of Computing,

Source URL: ijssst.info

Enhancing ES-HyperNEAT to Evolve More Complex Regular Neural Networks In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCONew York, NY: ACM Nominated for Best Paper Award in Generative an

Source URL: eplex.cs.ucf.edu

• Evolutionary algorithms
• Artificial neural networks
• Evolutionary computation
• Genetic algorithms
• HyperNEAT
• Neuroevolution
• Compositional pattern-producing network
• Quadtree
• Image segmentation
• Topology
• Climate as complex networks
• Biological neural network

IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 16, NO. 5, SEPTEMBERRandomized Algorithms for Stability and Robustness Analysis of High-Speed Communication Networks

Source URL: tansu.alpcan.org

Unsupervised Feature Learning through Divergent Discriminative Feature Accumulation In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAIPalo Alto, CA: AAAI Press. Paul A. Szerlip

Source URL: eplex.cs.ucf.edu

• Artificial neural networks
• Artificial intelligence
• Machine learning
• Learning
• Applied mathematics
• Evolutionary algorithms
• Computational neuroscience
• Evolutionary computation
• Neuroevolution
• Deep learning
• HyperNEAT
• Feature learning

Real-time Hebbian Learning from Autoencoder Features for Control Tasks To appear in: Proc. of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems (ALIFE 14). Cambridge, MA: MIT Press

Source URL: eplex.cs.ucf.edu

• Artificial neural networks
• Neuroscience
• Applied mathematics
• Cybernetics
• Autoencoder
• Hebbian theory
• Feature learning
• Deep learning
• Restricted Boltzmann machine
• Unsupervised learning
• Biological neural network
• Backpropagation

Evolving Multimodal Controllers with HyperNEAT In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCONew York, NY: ACM Justin K. Pugh Kenneth O. Stanley

Source URL: eplex.cs.ucf.edu

• Artificial neural networks
• Evolutionary algorithms
• Applied mathematics
• Evolutionary computation
• Genetic algorithms
• Artificial intelligence
• Machine learning
• Computational neuroscience
• HyperNEAT
• Neuroevolution
• Modality
• Compositional pattern-producing network

Curriculum Vitae Geoffrey E. Hinton July 14, 2015 Citizenship: Canadian (also British) Address:

Source URL: www.cs.toronto.edu

• Artificial neural networks
• Cognitive science
• Machine learning
• Academia
• Computational neuroscience
• Cybernetics
• Geoffrey Hinton
• Boltzmann machine
• Deep learning
• Speech recognition
• Artificial intelligence
• Helmholtz machine

The Rebirth of Neural Networks Olivier Temam INRIA Saclay 1 I got requests for a recorded version of the keynote. Rather than a recorded version, I thought that a version with some of the key points of each

Source URL: pages.saclay.inria.fr

• Artificial neural networks
• Applied mathematics
• Statistics
• Probability and statistics
• Multilayer perceptron
• Perceptron
• Support vector machine
• Machine learning
• Artificial neuron
• Statistical classification

MODELLING ACOUSTIC FEATURE DEPENDENCIES WITH ARTIFICIAL NEURAL NETWORKS: TRAJECTORY-RNADE Benigno Uria1 1 Iain Murray1

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

• Computational linguistics
• Speech recognition
• Acoustic model
• Artificial neural network
• Time series
• Speech synthesis
• Pattern recognition
• Machine learning
• Deep learning

DEEP NEURAL NETWORKS EMPLOYING MULTI-TASK LEARNING AND STACKED BOTTLENECK FEATURES FOR SPEECH SYNTHESIS Zhizheng Wu Cassia Valentini-Botinhao

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

• Computational linguistics
• Speech recognition
• Speech synthesis
• Recurrent neural network
• Artificial neural network
• International Conference on Acoustics
• Speech
• and Signal Processing
• Speech perception
• Digital News Network
• Acoustic model
• Deep learning