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NIPS
2007
14 years 11 months ago
Active Preference Learning with Discrete Choice Data
We propose an active learning algorithm that learns a continuous valuation model from discrete preferences. The algorithm automatically decides what items are best presented to an...
Eric Brochu, Nando de Freitas, Abhijeet Ghosh
WSC
1997
14 years 11 months ago
Selective Rerouting Using Simulated Steady State System Data
Effective operational control of a manufacturing system that has routing flexibility is dependent upon being able to make informed real-time decisions in the event of a system dis...
Catherine M. Harmonosky, Robert H. Farr, Ming-Chua...
WSC
2004
14 years 11 months ago
Knowledge Representation for Conceptual Simulation Modeling
Simulation is a powerful tool that helps decision makers in business and industry to solve difficult and complex problems, reduce cost, improve quality and productivity, and short...
Ming Zhou, Young Jun Son, Zhimin Chen
EUSAI
2003
Springer
15 years 3 months ago
Towards Computer Understanding of Human Interactions
People meet in order to interact - disseminating information, making decisions, and creating new ideas. Automatic analysis of meetings is therefore important from two points of vie...
Iain McCowan, Daniel Gatica-Perez, Samy Bengio, Da...
NIPS
2008
14 years 11 months ago
Optimal Response Initiation: Why Recent Experience Matters
In most cognitive and motor tasks, speed-accuracy tradeoffs are observed: Individuals can respond slowly and accurately, or quickly yet be prone to errors. Control mechanisms gove...
Matt Jones, Michael C. Mozer, Sachiko Kinoshita