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NIPS
2007
13 years 9 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
DMIN
2006
113views Data Mining» more  DMIN 2006»
13 years 9 months ago
Back-propagation DEA
Data Envelopment Analysis (DEA) is one of the most widely used methods in the measurement efficiency and productivity of Decision Making Units (DMUs). DEA for a large dataset with...
Ali Emrouznejad
IWEC
2004
13 years 9 months ago
Engaging Game Characters: Informing Design with Player Perspectives
The behavior of characters in current computer games is generally scripted and predictable. This paper discusses some issues related to creating game characters that enhance player...
Penelope Drennan, Stephen Viller, Peta Wyeth
IJCAI
2001
13 years 9 months ago
IBAL: A Probabilistic Rational Programming Language
In a rational programming language, a program specifies a situation faced by an agent; evaluating the program amounts to computing what a rational agent would believe or do in the...
Avi Pfeffer
RA
2003
135views Robotics» more  RA 2003»
13 years 9 months ago
Behavioural Cloning and Robot Control
Behavioural cloning is a method by which a machine learns control skills through observing what a human controller would do in a certain set of circumstances. More specifically, t...
Claire D'Este, Mark O'Sullivan, Nicholas Hannah