Protocols for Learning Classifiers on Distributed Data Hal Daum´e III Je↵ M. Phillips University of Maryland, CP University of Utah Suresh Venkatasubramanian

Source URL: www.cs.utah.edu

• Linear classifier
• Classifier
• Gain
• Boosting methods for object categorization
• Random subspace method
• Statistics
• Statistical classification
• Margin classifier

Behav Res:1073–1086 DOIs13428y Establishing normative data for repeated cognitive assessment: A comparison of different statistical methods Wim Van der Elst & Geert Molenberghs &

Source URL: files.jellejolles.nl

Glossary of Multivariate Statistical Methods An invaluable overview of the main terms and methods used in Multivariate Data Analysis

Source URL: www.camo.com

• Statistical methods
• Multivariate statistics
• Design of experiments
• Linear regression
• Multivariate analysis
• Calibration
• Analysis of variance
• Data analysis
• Instrumental variable
• Statistics
• Regression analysis
• Econometrics

Data Assimilation for Reducing Uncertainty In Ocean Carbon Cycle Modelling John Hemmings, Peter Challenor & Ian Robinson National Oceanography Centre, Southampton, European Way, Southampton SO14 3ZH E-mail: J.Hemmings@n

Source URL: www.nceo.ac.uk

• Computational science
• Statistical forecasting
• Weather prediction
• Climate forcing
• Global climate model
• Global warming
• Calibration
• Data assimilation
• Atmospheric sciences
• Statistics
• Meteorology

Systems biology course: "Statistical analysis of ~omics data"

Source URL: www.vlaggraduateschool.nl

On the Simultaneous Analysis of Clinical and Omics Data - a Comparison of Globalboosttest and Pre-validation Techniques Margret-Ruth Oelker and Anne-Laure Boulesteix Abstract In medical research biostatisticians are oft

Source URL: www.ibe.med.uni-muenchen.de

• Non-parametric statistics
• Machine learning
• Estimation theory
• Linear regression
• Resampling
• Cross-validation
• Intelligence quotient
• Statistical power
• Boosting
• Statistics
• Econometrics
• Regression analysis

Stochastic Production and Heterogeneous Risk Preferences: Commercial Fishers’ Gear Choices Håkan Eggert Department of Economics Göteborg University

Source URL: www.eafe-fish.org

• Statistical models
• Decision theory
• Data analysis
• Two-moment decision models
• Discrete choice
• Standard deviation
• Dummy variable
• Variance
• Logistic regression
• Statistics
• Regression analysis
• Econometrics

Bayesian K-Means as a “Maximization-Expectation” Algorithm October 18, 2007 Abstract

Source URL: www.ics.uci.edu

• Statistical theory
• Expectation–maximization algorithm
• Missing data
• Statistical models
• Maximum likelihood
• Fisher information
• Variational Bayesian methods
• Marginal likelihood
• Mixture model
• Statistics
• Estimation theory
• Bayesian statistics

Differential Privacy with Arbitrary Metrics Kostas Chatzikokolakis CNRS, INRIA and LIX, Ecole Polytechnique Abstract. Differential privacy is a well-known notion of privacy from the field of statistical databases. It req

Source URL: csf2012.seas.harvard.edu

• Mathematical analysis
• Differential privacy
• Metric
• Differential calculus
• Privacy
• Internet privacy
• Differential of a function
• Ethics
• Data privacy
• Mathematics

A Delphi Group White Paper Taxonomy & Content Classification Market Milestone Report

Source URL: lsdis.cs.uga.edu

• Statistics
• Natural language processing
• Data management
• Statistical natural language processing
• Groupware
• Text mining
• Unstructured data
• Knowledge management
• Data mining
• Science
• Data analysis
• Information technology management