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ACG
2009
Springer
16 years 9 days ago
Performance and Prediction: Bayesian Modelling of Fallible Choice in Chess
Evaluating agents in decision-making applications requires assessing their skill and predicting their behaviour. Both are well developed in Poker-like situations, but less so in mo...
Guy Haworth, Kenneth W. Regan, Giuseppe Di Fatta
ATAL
2006
Springer
15 years 9 months ago
An Agent-Based Approach for Range Image Segmentation
Abstract. In this paper an agent-based segmentation approach is presented and discussed. The approach consists in the utilization of autonomous agents for the segmentation of a ran...
Smaine Mazouzi, Zahia Guessoum, Fabien Michel, Moh...
AAAI
1996
15 years 7 months ago
Building Classifiers Using Bayesian Networks
Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier with strong assumptions of independence among features, called naive Bayes, is competit...
Nir Friedman, Moisés Goldszmidt
ECAI
2010
Springer
15 years 6 months ago
Kernel Methods for Revealed Preference Analysis
In classical revealed preference analysis we are given a sequence of linear prices (i.e., additive over goods) and an agent's demand at each of the prices. The problem is to d...
Sébastien Lahaie
AAAI
2011
14 years 5 months ago
Value Function Approximation in Reinforcement Learning Using the Fourier Basis
We describe the Fourier Basis, a linear value function approximation scheme based on the Fourier Series. We empirically evaluate its properties, and demonstrate that it performs w...
George Konidaris, Sarah Osentoski, Philip Thomas