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IJCAI
2001
15 years 7 months ago
Complexity of Probabilistic Planning under Average Rewards
A general and expressive model of sequential decision making under uncertainty is provided by the Markov decision processes (MDPs) framework. Complex applications with very large ...
Jussi Rintanen
SERP
2004
15 years 7 months ago
Virtual UNR Campus: The Specification Process
The Virtual UNR Campus (VCam) presented in this paper is an interactive environment where users explore a 3D representation of the University of Nevada, Reno (UNR) campus. In esse...
Sergiu Dascalu, Frederick C. Harris Jr., Matthew K...
AAAI
2000
15 years 7 months ago
ADVISOR: A Machine Learning Architecture for Intelligent Tutor Construction
We have constructed ADVISOR, a two-agent machine learning architecture for intelligent tutoring systems (ITS). The purpose of this architecture is to centralize the reasoning of a...
Joseph Beck, Beverly Park Woolf, Carole R. Beal
156
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AAAI
2000
15 years 7 months ago
Restricted Bayes Optimal Classifiers
We introduce the notion of restricted Bayes optimal classifiers. These classifiers attempt to combine the flexibility of the generative approach to classification with the high ac...
Simon Tong, Daphne Koller
ICIP
2009
IEEE
15 years 3 months ago
PCA Gaussianization for image processing
The estimation of high-dimensional probability density functions (PDFs) is not an easy task for many image processing applications. The linear models assumed by widely used transf...
Valero Laparra, Gustavo Camps-Valls, Jesús ...