THE STATE OF MACHINE TRANSLATION IN EUROPE John Hutchins (University of East Anglia) Abstract This first half of this general survey covers MT and translation tools in use, including translators workstations, software lo

Source URL: www.hutchinsweb.me.uk

VOTING SYSTEM RISK ASSESSMENT VIA COMPUTATIONAL COMPLEXITY ANALYSIS Dan S. Wallach* ABSTRACT

Source URL: www.accurate-voting.org

• Election technology
• Electoral fraud
• Electronic voting
• Elections
• Voting system
• Voter-verified paper audit trail
• Voting machine
• Ballot
• Absentee ballot
• Vote counting
• Optical scan voting system
• Help America Vote Act

CS 229 project report Younggon Kim () Smarter text input system for mobile phone 1. Abstract Machine learning algorithm was applied to text input system called T9. Support vector machine

Source URL: cs229.stanford.edu

Stochastic Control of Electric Vehicle Charging Kyle  Anderson   CS  229  Machine  Learning  Final  Project     Abstract— This project attempts several methods to optimize charging schedules fo

Source URL: cs229.stanford.edu

A Machine Learning Approach to Opponent Modeling in General Game Playing Tyler Hicks-WrightEric SchkufzaDecember 15, 2006 Abstract

Source URL: cs229.stanford.edu

Automated Patent Classification CS229/CS229A: Machine Learning Ian Christopher • Sydney Lin • Sigurd Spieckermann December 17, 2011 Abstract

Source URL: cs229.stanford.edu

Quantilizers: A Safer Alternative to Maximizers for Limited Optimization Jessica Taylor Machine Intelligence Research Institute Abstract

Source URL: intelligence.org

• Utility
• Microeconomics
• Expected utility
• Economy
• Economics
• Game theory
• Consumer theory
• Control theory
• Expected utility hypothesis
• Rational choice theory
• Decision theory
• Two-moment decision model

Group Induction Alex Teichman and Sebastian Thrun Stanford University Abstract— Machine perception often requires a large amount of user-annotated data which is time-consuming, difficult, or

Source URL: cs.stanford.edu

Boosting on a Budget: Sampling for Feature-Efficient Prediction Lev Reyzin Georgia Institute of Technology, 266 Ferst Drive, Atlanta, GA 30332, USA Abstract

Source URL: www.levreyzin.com

• Machine learning
• Artificial intelligence
• Ensemble learning
• Learning
• AdaBoost
• Boosting
• Online machine learning
• Generalization error
• Decision stump
• Sampling
• Margin classifier
• CoBoosting

Machine Learning of Expressive Microtiming in Brazilian and Reggae Drumming Matt Wright (Music) and Edgar Berdahl (EE), CS229, 16 December 2005 Abstract We have used supervised machine learning to apply microtiming to mu

Source URL: cs229.stanford.edu