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137
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PKDD
2010
Springer
184views Data Mining» more  PKDD 2010»
15 years 2 months ago
Shift-Invariant Grouped Multi-task Learning for Gaussian Processes
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
Yuyang Wang, Roni Khardon, Pavlos Protopapas
152
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UAI
2008
15 years 5 months ago
Improving Gradient Estimation by Incorporating Sensor Data
An efficient policy search algorithm should estimate the local gradient of the objective function, with respect to the policy parameters, from as few trials as possible. Whereas m...
Gregory Lawrence, Stuart J. Russell
103
Voted
ICANN
2005
Springer
15 years 9 months ago
The Topographic Product of Experts
- In this paper, we show how a topographic mapping can be created from a product of experts. We learn the parameters of the mapping using gradient descent on the negative logarithm...
Colin Fyfe
108
Voted
CAISE
2003
Springer
15 years 8 months ago
Decision Support By Learning-On-Demand
Abstract. Decision-support systems provide a large functionality supporting the decision making process. They allow to draw conclusions from data provided by users. In order to be ...
Klaus P. Jantke, Martin Memmel, Oleg Rostanin, Ber...
JFR
2006
140views more  JFR 2006»
15 years 3 months ago
Improving robot navigation through self-supervised online learning
In mobile robotics, there are often features that, while potentially powerful for improving navigation, prove difficult to profit from as they generalize poorly to novel situations...
Boris Sofman, Ellie Lin, J. Andrew Bagnell, John C...