Inflation Expectation Dynamics: The Role of Past, Present and Forward-Looking Information∗ Paul Hubert† Harun Mirza‡

Source URL: hubertpaul.free.fr

Chapter 4 Home Environment Support for Science Achievement Home resources for learning and high expectation by parents and students for education were related to higher average achievement at the fourth and

Source URL: timssandpirls.bc.edu

Topic: Metrics-based comparison of a soft ware chrestomathy Motivation: One reasonable expectation from a software chrestomathy is that it provides some guidance on the qualities of languages, technologies and spaces the

Source URL: softlang.uni-koblenz.de

C O R E P R I N C I P L E S for P u b lic E n g ag e me n t Developed collaboratively in Spring 2009 by dozens of leaders in public engagement, with the expectation of ongoing dialogue and periodic revision. May 1, 2009

Source URL: www.thataway.org

FELLOWSHIP CONTRACT STUDENT NAME PROGRAM The Scholarship Committee has granted you a distinguished IE Fellow Award based on your financial needs and commitment to IE Business School. The expectation is that an IE Fellow

Source URL: www.ie.edu

COST Action IS0803 Working Paper Expectation and Reality: Crossing Borders of the Czech Republic Dr Zdenek Uherek Institute of Ethnology, The Academy of Sciences of the Czech Republic

Source URL: www.eastbordnet.org

Privacy-Preserving Reconstruction of Multidimensional Data Maps in Vehicular Participatory Sensing Nam Pham1 , Raghu K. Ganti1 , Yusuf S. Uddin1 , Suman Nath2 and Tarek Abdelzaher1 1

Source URL: research.microsoft.com

• Maximum likelihood
• Expectation–maximization algorithm
• Likelihood function
• Perturbation theory
• Statistics
• Estimation theory
• Mathematical analysis

Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development Diane J. Hu1 , Laurens van der Maaten1,2 , Youngmin Cho1 , Lawrence K. Saul1 , Sorin Lerner1 1 Dept. of Computer Science & Engin

Source URL: lvdmaaten.github.io

• Mixture model
• Expectation–maximization algorithm
• Dirichlet process
• Bernoulli distribution
• Variational Bayesian methods
• Statistics
• Cluster analysis
• Machine learning

A Bayesian Approach for Affine Auto-Calibration S.S. Brandt and K. Palander Helsinki University of Technology, Laboratory of Computational Engineering, P.O. Box 9203, FITKK, Finland

Source URL: www.ee.oulu.fi

• Bayesian statistics
• Statistical models
• Statistical inference
• Expectation–maximization algorithm
• Camera resectioning
• Statistics
• Estimation theory
• Statistical theory

Discovering Affine Equalities Using Random Interpretation Sumit Gulwani George C. Necula University of California, Berkeley {gulwani,necula}@cs.berkeley.edu

Source URL: www.cs.berkeley.edu

• Dimension
• Affine space
• Affine arithmetic
• Expected value
• Randomized algorithm
• Affine connection
• Conditional expectation
• Affine geometry
• Mathematics
• Mathematical analysis