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COLT
2007
Springer
16 years 29 days ago
Minimax Bounds for Active Learning
This paper analyzes the potential advantages and theoretical challenges of “active learning” algorithms. Active learning involves sequential sampling procedures that use infor...
Rui Castro, Robert D. Nowak
SIBGRAPI
2003
IEEE
16 years 1 days ago
A Hole-Filling Strategy for Reconstruction of Smooth Surfaces in Range Images
Creating models of real scenes is a complex task for which the use of traditional modelling techniques is inappropriate. For this task, laser rangefinders are frequently used to s...
Jianning Wang, Manuel M. Oliveira
AAAI
2006
15 years 8 months ago
Bayesian Calibration for Monte Carlo Localization
Localization is a fundamental challenge for autonomous robotics. Although accurate and efficient techniques now exist for solving this problem, they require explicit probabilistic...
Armita Kaboli, Michael H. Bowling, Petr Musí...
AAAI
2006
15 years 8 months ago
Decision Tree Methods for Finding Reusable MDP Homomorphisms
straction is a useful tool for agents interacting with environments. Good state abstractions are compact, reuseable, and easy to learn from sample data. This paper and extends two...
Alicia P. Wolfe, Andrew G. Barto
PICS
2003
15 years 8 months ago
Eye Tracking Observers During Rank Order, Paired Comparison, and Graphical Rating Tasks
In studying image quality and image preference it is necessary to collect psychophysical data. A variety of methods are used to arrive at interval scale values which indicate the ...
Jason S. Babcock, Jeff B. Pelz, Mark D. Fairchild