SERVICE STATEMENT JORDAN BOYD-GRABER 1. Professional Service In addition to standard reviewing of articles, I’ve served as an area chair for machine learning at emnlp 2015, document classification and topic clustering

Source URL: www.cs.colorado.edu

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

Efficient Sparse Clustering of High-Dimensional Non-spherical Gaussian Mixtures Martin Azizyan Machine Learning Department Carnegie Mellon University

Source URL: jmlr.org

Clustering by Comparison: Stochastic Block Model for Inference in Crowdsourcing Ramya Korlakai Vinayak Babak Hassibi California Institute of Technology, Pasadena, CA, USA.

Source URL: crowdml.cc

524 IEEE TRANSACTIONS ON MULTIMEDIA, VOL. 7, NO. 3, JUNE 2005 Fast Similarity Search and Clustering of Video Sequences on the World-Wide-Web

Source URL: www-video.eecs.berkeley.edu

Explaining reviews and ratings with PACO: Poisson Additive Co-Clustering arXiv:1512.01845v1 [cs.LG] 6 DecChao-Yuan Wu∗

Source URL: arxiv.org

• Statistics
• Mathematical analysis
• Probability
• Probability distributions
• Infinitely divisible probability distributions
• Poisson processes
• Matrix theory
• Multivariate statistics
• Poisson distribution
• Matrix completion
• Normal distribution
• Gamma distribution

Large Scale Clustering of Protein Sequences Zur Erlangung des akademischen Grades eines Doktors der Naturwissenschaften der Universit¨at Bielefeld vorgelegte

Source URL: static.fh-bingen.de

Bayesian Hierarchical Clustering Katherine A. Heller Zoubin Ghahramani Gatsby Computational Neuroscience Unit, University College London 17 Queen Square, London, WC1N 3AR, UK

Source URL: mlg.eng.cam.ac.uk

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

Cyclosporine Concentration Prediction using Clustering and Support Vector Regression Methods G. Camps-Valls, E. Soria-Olivas, J. J. P´erez-Ruixo, F. P´erez-Cruz, A. R. Figueiras-Vidal and A. Art´es-Rodr´ıguez Abstra

Source URL: www.tsc.uc3m.es