The Guidance of an Enterprise Economy Martin Shubik and Eric Smith A rigorous theory of money, credit, and bankruptcy in the context of a mixed economy, uniting Walrasian general

Source URL: mitpress.mit.edu

A Mixed-Initiative Tool for Designing Level Progressions in Games Eric Butler, Adam M. Smith, Yun-En Liu, and Zoran Popovi´c Center for Game Science Department of Computer Science & Engineering, University of Washington

Source URL: www.ericbutler.net

Quantifying over Play: Constraining Undesirable Solutions in Puzzle Design Adam M. Smith, Eric Butler, Zoran Popovi´c Center for Game Science, Dept. of Computer Science & Engineering, University of Washington {amsmith,e

Source URL: www.ericbutler.net

ERIC N. SMITH Stanford University: Department of Psychology ; EDUCATION Stanford University Ph.D. Student, Department of Psychology (Social Psychology Area)

Source URL: stanford.edu

Village of Wolcott Board of Trustees August 12, 2014 7:00 PM Members Present: Mayor Gary Baker, Trustees Chris Henner, George Buckalew, Dan Smith, Bob Skinner Others Present: Lori Tyler, Eric Wies, Roger Henry, Jake Keym

Source URL: www.wolcottny.org

• Parliamentary procedure
• Second

A Latent Variable Model for Geographic Lexical Variation Jacob Eisenstein Brendan O’Connor Noah A. Smith Eric P. Xing School of Computer Science Carnegie Mellon University

Source URL: homes.cs.washington.edu

• Statistics
• Probability
• Statistical natural language processing
• Probability distributions
• Estimation theory
• Regression analysis
• Dynamic topic model
• Latent Dirichlet allocation
• Variational Bayesian methods
• Mixture model
• Topic model
• Normal distribution

July 2016 Leading Thoughts J. Eric Smith, TREE Fund President and CEO A year ago this month, the TREE Fund’s Board of Trustees extended me the privilege of serving as the organization’s President and CEO. I’ve logg

Source URL: www.treefund.org

• Natural resource management
• Arborist
• Land management
• Arboriculture
• Tree Care Industry Association
• Agriculture
• Botany

Online Learning of Structured Predictors with Multiple Kernels Andr´e F. T. Martins∗† Noah A. Smith∗ Eric P. Xing∗ Pedro M. Q. Aguiar‡ M´ario A. T. Figueiredo† ∗ ‡ †

Source URL: users.isr.ist.utl.pt

• Data mining
• Multiple kernel learning
• Statistical classification
• Machine learning
• Support vector machine
• Kernel method
• Feature selection
• Positive-definite kernel
• Kernel
• Structured prediction

Concise Integer Linear Programming Formulations for Dependency Parsing ∗ Andr´e F. T. Martins∗† Noah A. Smith∗ Eric P. Xing∗ School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA

Source URL: homes.cs.washington.edu

• Operations research
• Compiler construction
• Formal languages
• Machine learning
• Dependency grammar
• Natural language parsing
• LL parser
• Integer programming
• Parsing
• Linear programming
• Context-free grammar
• Conditional random field

Turbo Parsers: Dependency Parsing by Approximate Variational Inference Andr´e F. T. Martins∗† Noah A. Smith∗ Eric P. Xing∗ ∗ School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213, USA

Source URL: users.isr.ist.utl.pt

• Belief propagation
• Coding theory
• Probability theory
• Combinatory logic