PAC Learning and Artificial Neural Networks Martin Anthony and Norman Biggs Department of Mathematics, London School of Economics and Political Science (University of London), Houghton St., London WC2A 2AE, United Kingdo

Source URL: www.maths.lse.ac.uk

• Computational learning theory
• Artificial neural networks
• Machine learning
• Computational statistics
• Learning
• VC dimension
• Sample complexity
• Probably approximately correct learning
• Backpropagation
• Perceptron
• Vladimir Vapnik
• Radial basis function network

Prosodically-enhanced Recurrent Neural Network Language Models Siva Reddy Gangireddy and Steve Renals Yoshihiko Nankaku and Akinobu Lee Centre for Speech Technology Research

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

• Computational linguistics
• Phonology
• Phonetics
• Systemic functional linguistics
• Speech recognition
• Prosody
• Language model
• Acoustic model
• Artificial neural network
• Recurrent neural network
• Intonation
• Syllable

Using NEAT for Continuous Adaptation and Teamwork Formation in Pacman Mark Wittkamp, Luigi Barone, Member, IEEE, and Philip Hingston, Senior Member, IEEE Abstract— Despite games often being used as a testbed for new co

Source URL: www.csse.uwa.edu.au

• Computational neuroscience
• Pac-Man
• Z80
• Arch Linux
• Ghost
• Escape
• Score
• Artificial neural network
• Artificial intelligence

An Automated Technique to Quality Control Radar Reflectivity Data Valliappa Lakshmanan1,2 , Angela Fritz3 , Travis Smith1,2 , Kurt Hondl2 , Gregory Stumpf Submitted, J. Applied Meteorology, OctRevised Mar. 2006

Source URL: cimms.ou.edu

• Radar meteorology
• Weather radar
• Radar
• NEXRAD
• Artificial neural network
• DBZ
• Millimeter cloud radar
• Convective storm detection

Robot Grasping in Clutter: Using a Hierarchy of Supervisors for Learning from Demonstrations Michael Laskey1 , Jonathan Lee1 , Caleb Chuck1 , David Gealy1 , Wesley Hsieh1 , Florian T. Pokorny1 , Anca D. Dragan1 , and Ken

Source URL: goldberg.berkeley.edu

• Machine learning
• Robot learning
• Artificial neural network
• Deep learning
• Motion planning
• Robotics
• Supervisor
• Apprenticeship learning
• Clutter
• Robot
• Reinforcement learning

Engineering Applications of Artificial Intelligence–103 A new signature verification technique based on a two-stage neural network classifier H. Baltzakisa, N. Papamarkosb,* b

Source URL: www.papamarkos.gr

arXiv:1506.00019v4 [cs.LG] 17 OctA Critical Review of Recurrent Neural Networks for Sequence Learning Zachary C. Lipton

Source URL: arxiv.org

• Artificial neural networks
• Cybernetics
• Applied mathematics
• Machine learning
• Recurrent neural network
• Deep learning
• Long short-term memory
• Feedforward neural network
• Convolutional neural network
• Backpropagation
• Connectionism
• Restricted Boltzmann machine

Compressed Network Complexity Search Faustino Gomez, Jan Koutn´ık, and J¨ urgen Schmidhuber IDSIA USI-SUPSI Manno-Lugano, CH

Source URL: people.idsia.ch

• Artificial neural networks
• Applied mathematics
• Cybernetics
• Cognitive science
• Recurrent neural network
• Artificial neuron
• Genetic algorithm

DjiNN and Tonic: DNN as a Service and Its Implications for Future Warehouse Scale Computers Johann Hauswald Yiping Kang Michael A. Laurenzano Quan Chen Cheng Li Trevor Mudge Ronald G. Dreslinski Jason Mars Lingjia Tang C

Source URL: web.eecs.umich.edu

• Computing
• Computer architecture
• GPGPU
• Parallel computing
• Computer engineering
• Computational neuroscience
• Graphics hardware
• Deep learning
• DNN
• Graphics processing unit
• Artificial neural network
• Convolutional neural network

An Artificial Neural Network Approach to Pre-screening of Large Chemical Datasets

Source URL: infochim.u-strasbg.fr