Hierarchical Sparse Coded Surface Models Michael Ruhnke Liefeng Bo Abstract— In this paper, we describe a novel approach to

Source URL: europa2.informatik.uni-freiburg.de

• Color space
• RGB color model
• Octree
• Machine learning
• Sparse approximation
• 3D modeling
• Cognition
• Learning
• Cognitive science

A New Method for Calculating Music Similarity Eric Battenberg and Vijay Ullal December 12, 2006 Abstract We introduce a new technique for calculating the perceived similarity of two songs based on their spectral content.

Source URL: www.ericbattenberg.com

• Statistics
• Machine learning
• Markov models
• Applied mathematics
• Cluster analysis
• Bioinformatics
• Statistical distance
• Hidden Markov model
• Mixture model
• K-means clustering
• Expectationmaximization algorithm
• Similarity measure

Learning and Knowledge Generation in General Games Shiven Sharma, Ziad Kobti, Scott Goodwin Abstract— General Game Playing (GGP) aims at developing game playing agents that are able to play a variety of games and in th

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

• Machine learning
• Artificial intelligence
• Game artificial intelligence
• Applied mathematics
• Computational neuroscience
• Game theory
• Cybernetics
• Ant colony optimization algorithms
• General game playing
• Reinforcement learning
• Computer Go
• Q-learning

Using Reinforcement Learning for City Site Selection in the Turn-Based Strategy Game Civilization IV Stefan Wender, Ian Watson Abstract— This paper describes the design and implementation of a reinforcement learner bas

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

• Windows games
• Reinforcement learning
• Q-learning
• Civilization V
• Civilization IV
• Artificial intelligence
• Machine learning
• Civilization
• Freeciv
• Learning
• AI War: Fleet Command

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

Synthesizing Bots Emotional Behaviors through Fuzzy Cognitive Processes Giovanni Acampora, Member, IEEE, Fabio Ferraguto, and Vincenzo Loia , Senior Member, IEEE Abstract— Video games are one of the most significative

Source URL: game.itu.dk

• Artificial intelligence
• Control engineering
• Fuzzy logic
• Logic in computer science
• Fuzzy control system
• Timed automaton
• Petri net
• Control system
• Finite-state machine
• Emotion
• Computational intelligence

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

Schedule Processes, not VCPUs∗ Xiang Song, Jicheng Shi, Haibo Chen, Binyu Zang Institute of Parallel and Distributed Systems School of Software, Shanghai Jiao Tong University Abstract

Source URL: ipads.se.sjtu.edu.cn

• Scheduling
• Concurrent computing
• Linux Foundation
• University of Cambridge Computer Laboratory
• Xen
• Hypervisor
• Hyper-V
• Completely Fair Scheduler
• QEMU
• Hardware virtualization
• Kernel-based Virtual Machine
• Kernel preemption

Optimal rates for random Fourier feature approximations∗ Zolt´an Szab´o (Gatsby Unit, University College London)† Abstract: Kernel methods represent one of the most powerful tools in machine learning to tackle

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

Programming-By-Example Gesture Recognition Kevin Gabayan, Steven Lansel December 15, 2006 Abstract Machine learning and hardware improvements to a programming-by-example rapid prototyping system are proposed. Exemplar, a

Source URL: cs229.stanford.edu