Kernel Belief Propagation 1 Le Song,1 Arthur Gretton,1,2 Danny Bickson,1 Yucheng Low,1 Carlos Guestrin1 School of Computer Science, CMU; 2 Gatsby Computational Neuroscience Unit & MPI for Biological Cybernetics

Source URL: www.gatsby.ucl.ac.uk

Rapid Adaptation of Video Game AI Sander Bakkes, Pieter Spronck, and Jaap van den Herik A. Entertainment and Game AI Abstract— Current approaches to adaptive game AI require either a high quality of utilised domain kno

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

• Computational neuroscience
• Cybernetics
• Video game development
• Artificial intelligence
• Windows games
• Dynamic game difficulty balancing
• Action selection
• Artificial neural network
• Machine learning
• Spring Engine

Sequence-to-Sequence Neural Net Models for Grapheme-to-Phoneme Conversion Kaisheng Yao, Geoffrey Zweig Microsoft Research {kaisheny, gzweig}@microsoft.com

Source URL: research.microsoft.com

• Artificial neural networks
• Machine learning
• Applied mathematics
• Cybernetics
• Long short-term memory
• Recurrent neural network
• Speech recognition
• Bidirectional recurrent neural networks
• Artificial intelligence
• Language model
• NETtalk
• Backpropagation through time

C:/rep/evotdl/ciginfo/ciginfo.dvi

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

• Applied mathematics
• Cybernetics
• Evolution
• Machine learning
• Cognitive science
• Theoretical computer science
• Belief revision
• Reinforcement learning
• Perceptron
• Artificial neural network
• Evolutionary computation
• TDL

MAN Pilot Site Application Form Full Name of Main Contact Michael Paul Giroux Title

Source URL: www.mutualaidnetwork.org

• Democracy
• Market socialism
• Cybernetics
• Organization design
• Sociocracy
• Cooperative
• GROW
• Justice
• Trust

Estimating Learning Rates in Evolution and TDL: Results on a Simple Grid-World Problem Simon M. Lucas Abstract— When learning to play a game or perform some task, it is important to learn as quickly and effectively as

Source URL: game.itu.dk

• Applied mathematics
• Cybernetics
• Machine learning
• Cognitive science
• Evolution
• Genetic algorithms
• Mathematical optimization
• Q-learning
• Reinforcement learning
• Artificial neural network
• Evolutionary computation
• Evolutionary algorithm

The WCCI 2008 Simulated Car Racing Competition Daniele Loiacono, Julian Togelius, Pier Luca Lanzi, Leonard Kinnaird-Heether, Simon M. Lucas, Matt Simmerson, Diego Perez, Robert G. Reynolds, Yago Saez Abstract— This pap

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

• Cybernetics
• Software
• Engineering
• Linux games
• Systems science
• TORCS
• Automation
• Control theory
• Genetic algorithm
• Controller

AUTOMATIC FOREGROUND-BACKGROUND REFOCUSING Alexander Loktyushin and Stefan Harmeling Max Planck Institute for Biological Cybernetics, T¨ubingen, Germany ABSTRACT A challenging problem in image restoration is to recover

Source URL: people.tuebingen.mpg.de

30 Years of Adaptive Neural Networks: Perceptron, Madaline, and Backpropagation BERNARD WIDROW, FELLOW, IEEE,

Source URL: www-isl.stanford.edu

• Artificial neural networks
• Machine learning
• Applied mathematics
• Cybernetics
• ADALINE
• Artificial neuron
• Perceptron
• Madaline
• Backpropagation
• Feedforward neural network
• Activation function
• Bernard Widrow

ADAPTWE SIGNAL PROCESSING FOR ADAPTIVE CONTROL Bernard Widrow Department of Electrical Engineering Stanford University, Stanford, CA Eugene Walach

Source URL: www-isl.stanford.edu

• Digital signal processing
• Control theory
• Filter theory
• Signal processing
• Cybernetics
• Adaptive filter
• Impulse response
• Least mean squares filter
• Minimum phase
• Controller
• Filter
• Transfer function