The International Journal of Robotics Research http://ijr.sagepub.com FAB-MAP: Probabilistic Localization and Mapping in the Space of Appearance Mark Cummins and Paul Newman

Source URL: www.robots.ox.ac.uk

• Stochastic processes
• Cluster analysis
• Mixture model
• Hidden Markov model
• Naive Bayes classifier
• Variational Bayesian methods
• Random walk
• Causality
• Kullback–Leibler divergence
• Statistics
• Bayesian statistics
• Markov models

2 Vision, Psychophysics and Bayes Paul Schrater and Daniel Kersten Introduction

Source URL: gandalf.psych.umn.edu

Classifying Documents using Ruby Paul Dix http://www.pauldix.net

Source URL: pauldix.blogs.com

• Computational statistics
• Statistical classification
• Document classification
• Classifier
• Feature selection
• Random subspace method
• Naive Bayes classifier
• Statistics
• Machine learning
• Artificial intelligence

Topological sensitivity analysis for biological systems Babtie, Ann C., Kirk, Paul and Stumpf, Michael P.H. Imperial College, London, UNITED KINGDOM Background: Ordinary differential equation (ODE) models are widely used

Source URL: ws9.websitepanelonline.com

• Process management
• Scientific modeling
• Sensitivity analysis
• Bayesian inference
• Economic model
• Complex systems
• Statistical inference
• Robust Bayes analysis
• Statistics
• Bayesian statistics
• Statistical theory

MSRC at TREC 2011 Crowdsourcing Track Paul Bennett1 1 2 Ece Kamar1

Source URL: research.microsoft.com

• Statistics
• Natural language processing
• Machine learning
• Crowdsourcing
• Social psychology
• Relevance
• Naive Bayes classifier
• Precision and recall
• Supervised learning
• Science
• Information science
• Information retrieval

Using Asymmetric Distributions to Improve Text Classifier Probability Estimates Paul N. Bennett Computer Science Dept. Carnegie Mellon University

Source URL: www.cs.cmu.edu

• Bayesian statistics
• Estimation theory
• Statistical models
• Maximum likelihood
• Naive Bayes classifier
• Bayes estimator
• Normal distribution
• Bayesian inference
• Parametric model
• Statistics
• Statistical theory
• Statistical inference

Building Reliable Metaclassifiers for Text Learning Paul N. Bennett May 2006 CMU-CS

Source URL: reports-archive.adm.cs.cmu.edu

• Bayesian statistics
• Naive Bayes classifier
• Calibration
• Support vector machine
• Classifier
• Random subspace method
• Boosting methods for object categorization
• Statistics
• Statistical classification
• Machine learning

Probabilistic Combination of Text Classifiers Using Reliability Indicators: Models and Results Paul N. Bennett Susan T. Dumais

Source URL: www.cs.cmu.edu

• Support vector machine
• Binary classification
• Margin classifier
• Classifier
• Random subspace method
• Linear classifier
• Statistics
• Statistical classification
• Naive Bayes classifier

Feature Representation for Effective Action-Item Detection Paul N. Bennett Jaime Carbonell Computer Science Department

Source URL: www.cs.cmu.edu

• Machine learning
• Science
• Natural language processing
• Computational linguistics
• Data mining
• N-gram
• Linear classifier
• Document classification
• Naive Bayes classifier
• Statistics
• Statistical classification
• Artificial intelligence

Boghossian, Bellarmine, and Bayes John MacFarlane As Paul Boghossian sees it, postmodernist relativists and constructivists are paralyzed by a “fear of knowledge.” For example, they lack the courage to say, in the fa

Source URL: johnmacfarlane.net

• Knowledge
• Theory of justification
• Relativism
• Paul Boghossian
• A priori and a posteriori
• Evidentiality
• Galileo Galilei
• Internalism and externalism
• Prima facie
• Philosophy
• Epistemology
• Justification