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AI
2002
Springer
15 years 6 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
APIN
2002
90views more  APIN 2002»
15 years 6 months ago
Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning
Abstract: Locally weighted learning (LWL) is a class of techniques from nonparametric statistics that provides useful representations and training algorithms for learning about com...
Stefan Schaal, Christopher G. Atkeson, Sethu Vijay...
CCR
2004
113views more  CCR 2004»
15 years 6 months ago
Implementing aggregation and broadcast over Distributed Hash Tables
Peer-to-peer (P2P) networks represent an effective way to share information, since there are no central points of failure or bottleneck. However, the flip side to the distributive...
Ji Li, Karen R. Sollins, Dah-Yoh Lim
CG
2004
Springer
15 years 6 months ago
Surface processing methods for point sets using finite elements
We present a framework for processing point-based surfaces via partial differential equations (PDEs). Our framework efficiently and effectively brings well-known PDE-based process...
Ulrich Clarenz, Martin Rumpf, Alexandru Telea
CGF
2004
93views more  CGF 2004»
15 years 6 months ago
Instant Volumetric Understanding with Order-Independent Volume Rendering
Rapid, visual understanding of volumetric datasets is a crucial outcome of a good volume rendering application, but few current volume rendering systems deliver this result. Our g...
Benjamin Mora, David S. Ebert
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