Script- and Cluster-based UCT for StarCraft Niels Justesen B´alint Tillman Julian Togelius

Source URL: julian.togelius.com

• Gaming
• Software
• Computing
• StarCraft
• Blizzard games
• Multiplayer online games
• Video games with isometric graphics
• Windows games
• Hierarchical clustering
• Cluster analysis
• Races of StarCraft
• K-means clustering

Chemical speciation of phosphorus by means of highenergy resolution PIXE measurements M. Petric(1), M. Kavčič(1), M. Žitnik(1), K. Bučar(1), J. SzlachetkoJ. Stefan Institute, Jamova 39, SI-1001 Ljubljana, Slo

Source URL: www.ionbeamcentre.co.uk

Complete Mobile Testing Developing mobile applications today means having to navigate a fragmented device landscape, manage continuous update cycles, cater to always-on customers and contend with fierce competition. To k

Source URL: www.soasta.com

• Software testing
• SOASTA
• Test automation
• Mobile application development
• Continuous integration
• Test Studio
• Load testing

IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING 1 Codebook based Audio Feature Representation for Music Information Retrieval

Source URL: bmcfee.github.io

• Vectors
• Abstract algebra
• Linear algebra
• Vector quantization
• Representation theory of Lie groups
• Lie algebras
• Code
• K-means clustering
• Lasso
• Four-vector
• Euclidean vector
• Sparse approximation

EUROGRAPHICSI. Navazo, P. Poulin (Guest Editors) Volume), Number 2 Scalable Music: Automatic Music Retargeting and Synthesis

Source URL: graphics.ethz.ch

• Computational linguistics
• Humancomputer interaction
• Software
• Artificial intelligence
• Cognitive musicology
• Image segmentation
• K-means clustering
• Speech recognition
• Music
• Targeted advertising
• Rhythm
• Speech synthesis

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

Approximate K-Means++ in Sublinear Time Olivier Bachem Mario Lucic S. Hamed Hassani

Source URL: las.inf.ethz.ch

Bayesian Clustering of Transcription Factor Binding Motifs Shane T. J ENSEN and Jun S. L IU Genes are often regulated in living cells by proteins called transcription factors that bind directly to short segments of DNA i

Source URL: www-stat.wharton.upenn.edu

• Statistics
• Machine learning
• Cluster analysis
• Computational statistics
• Bioinformatics
• Hierarchical clustering
• Network analysis
• Dirichlet process
• K-means clustering
• DNA binding site
• Expectationmaximization algorithm
• Consensus clustering

Transition State Clustering: Unsupervised Surgical Trajectory Segmentation For Robot Learning The International Journal of Robotics Research

Source URL: goldberg.berkeley.edu

• Markov models
• Estimation theory
• Cluster analysis
• Machine learning
• Mixture model
• Image segmentation
• Hidden Markov model
• Expectationmaximization algorithm
• Markov chain
• K-means clustering
• Time series

Proceedings, The Eleventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-15) Bayesian Clustering of Player Styles for Multiplayer Games Aline Normoyle Shane T. Jensen

Source URL: www-stat.wharton.upenn.edu

• Statistics
• Computing
• Mathematics
• Cluster analysis
• K-means clustering
• Hierarchical clustering
• Non-negative matrix factorization
• Fuzzy clustering
• Machine learning
• Computer cluster
• Dirichlet process
• Consensus clustering