Extending Neuro-evolutionary Preference Learning through Player Modeling H´ector P. Mart´ınez, Kenneth Hullett, and Georgios N. Yannakakis, Member, IEEE Abstract—In this paper we propose a methodology for improving

Source URL: game.itu.dk

• Artificial neural networks
• Dimension reduction
• Computational neuroscience
• Computational statistics
• Georgios N. Yannakakis
• Affective computing
• Machine learning
• Preference learning
• Competitive learning
• Artificial intelligence
• Self-organizing map
• Feature selection

Pulmonary Nodule Classification with Convolutional Neural Networks Sheila Ramaswamy Stanford University 450 Serra Mall, Stanford, CAKaren Truong

Source URL: cs231n.stanford.edu

Artificial neural networks and deep learning Jack Baker February 20, 2015 Artificial neural networks and deep learning

Source URL: www.lancaster.ac.uk

Training Input-Output Recurrent Neural Networks through Spectral Methods arXiv:submitcs.LG] 3 JunHanie Sedghi∗ Anima Anandkumar†

Source URL: www-scf.usc.edu

Real-Time Evolution of Neural Networks in the NERO Video Game Kenneth O. Stanley† , Bobby D. Bryant‡ , Igor Karpov‡ and Risto Miikkulainen‡ † School of Electrical Engineering and Computer Science, The Universit

Source URL: www.cse.unr.edu

Going Deeper with Convolutions Christian Szegedy1 , Wei Liu2 , Yangqing Jia1 , Pierre Sermanet1 , Scott Reed3 , Dragomir Anguelov1 , Dumitru Erhan1 , Vincent Vanhoucke1 , Andrew Rabinovich4 1 Google Inc. 2 University of

Source URL: www.cs.unc.edu

• Artificial neural networks
• Computational neuroscience
• Artificial intelligence
• Computer vision
• Convolutional neural network
• Deep learning
• Machine learning
• MNIST database
• Vanishing gradient problem
• Receptive field
• Network architecture
• OSI model

Harmonic Resonance Theory Harmonic Resonance Theory: An Alternative to the "Neuron Doctrine" Paradigm of Neurocomputation to Address Gestalt properties of perception

Source URL: cns-alumni.bu.edu

• Neuroscience
• Nervous system
• Cognitive science
• Perception
• Sensory systems
• Cognition
• Neural networks
• Biological neural network
• Gestalt psychology
• Visual cortex
• Binding problem
• Receptive field

c 2002 Nonlinear Phenomena in Complex Systems ° Geometrical Properties of Phase Spaces of Hopfield Analog Neural Networks after Learning M. Jaszuk1 , W. A. Kami´

Source URL: www.j-npcs.org

ADVANCES IN OPTIMIZING RECURRENT NETWORKS Yoshua Bengio, Nicolas Boulanger-Lewandowski and Razvan Pascanu arXiv:1212.0901v2 [cs.LG] 14 DecU. Montreal

Source URL: arxiv.org

• Artificial neural networks
• Applied mathematics
• Machine learning
• Cybernetics
• Recurrent neural network
• Deep learning
• Long short-term memory
• Stochastic gradient descent
• Convolutional neural network
• Rectifier
• Backpropagation
• Gradient descent

Domain Specific Named Entity Recognition Referring to the Real World by Deep Neural Networks Suzushi Tomori† Takashi Ninomiya†† Shinsuke Mori††† † Graduate School of Informatics, Kyoto University∗ ††

Source URL: www.ar.media.kyoto-u.ac.jp