A First Look at Multilevel Models Institute for Social Research Statistical Consulting Service October—November , 2001 York University Georges Monette∗†

Source URL: www.math.yorku.ca

Statistical Models for Partial Membership Katherine A. Heller Sinead Williamson Zoubin Ghahramani Engineering Department, University of Cambridge, Cambridge, UK

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

• Statistical models
• Machine learning
• Fuzzy clustering
• Mixture model
• Exponential family
• K-means clustering
• Conjugate prior
• Dimensional analysis
• Mixture distribution
• Statistics
• Probability and statistics
• Cluster analysis

Augmented Statistical Models for Speech Recognition Mark Gales & Martin Layton 31 AugustCambridge University Engineering Department

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

Augmented Statistical Models for Classifying Sequence Data Martin Layton Corpus Christi College University of Cambridge

Source URL: svr-www.eng.cam.ac.uk

Research Overview Cynthia Rudin My goal is to build predictive models that assist people in making decisions. I design machine learning methods, Bayesian (applied) statistical models, theoretical foundations, and tools f

Source URL: web.mit.edu

ASSESSEMENT OF EXTREME STORM SURGE HYDROGRAPHS FOR THE SOUTH-WESTERN BALTIC COAST USING UNIVARIATE AND BIVARIATE STATISTICAL MODELS Dörte Salecker, Peter Fröhle (, )

Source URL: www.baltex-research.eu

Augmented Statistical Models for Classifying Sequence Data Martin Layton Corpus Christi College University of Cambridge

Source URL: svr-www.eng.cam.ac.uk

Improved Models of Distortion Cost for Statistical Machine Translation Spence Green, Michel Galley, and Christopher D. Manning Stanford University June 4, 2010

Source URL: www.spencegreen.com

Removing the blindfold Visualising statistical models

Source URL: vita.had.co.nz

Modelling Dependencies in Sequence Classification: Augmented Statistical Models Mark Gales - work with Martin Layton 9 NovemberCambridge University Engineering Department

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