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» Challenges and Unsolved Problems
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194
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NIPS
2008
15 years 8 months ago
Efficient Sampling for Gaussian Process Inference using Control Variables
Sampling functions in Gaussian process (GP) models is challenging because of the highly correlated posterior distribution. We describe an efficient Markov chain Monte Carlo algori...
Michalis Titsias, Neil D. Lawrence, Magnus Rattray
177
Voted
PDPTA
2008
15 years 8 months ago
A Parallel Processing Architecture for Solving Large-Scale Linear Systems
Solving linear systems with a large number of variables is at the core of many scienti c problems. Parallel processing techniques for solving such systems have received much attent...
Arun Nagari, Itamar Elhanany, Ben Thompson, Fangxi...
SNPD
2007
15 years 8 months ago
Localized Flooding Backbone Construction for Location Privacy in Sensor Networks
Source and destination location privacy is a challenging and important problem in sensor networks. Nevertheless, privacy preserving communication in sensor networks is still a vir...
Yingchang Xiang, Dechang Chen, Xiuzhen Cheng, Kai ...
158
Voted
AAAI
2004
15 years 8 months ago
Machine Learning for Fast Quadrupedal Locomotion
For a robot, the ability to get from one place to another is one of the most basic skills. However, locomotion on legged robots is a challenging multidimensional control problem. ...
Nate Kohl, Peter Stone
185
Voted
AAAI
2006
15 years 8 months ago
Performing Incremental Bayesian Inference by Dynamic Model Counting
The ability to update the structure of a Bayesian network when new data becomes available is crucial for building adaptive systems. Recent work by Sang, Beame, and Kautz (AAAI 200...
Wei Li 0002, Peter van Beek, Pascal Poupart