1701 search results - page 247 / 341 » Learning Mappings with Neural Network |
163
Voted
KDD
2004
ACM
16 years 5 months ago
2004
ACM
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
152
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IJCNN
2006
IEEE
15 years 11 months ago
2006
IEEE
– This paper presents a hippocampal inspired robot localization model that provides a means for a simple robotic platform with ultrasonic sensors to localize itself. There have b...
153
Voted
DEXAW
2007
IEEE
15 years 9 months ago
2007
IEEE
System interoperability is a well known issue, especially for heterogeneous information systems, where ontologybased representations may support automatic and usertransparent inte...
155
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IWANN
1999
Springer
15 years 9 months ago
1999
Springer
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
145
Voted
NIPS
1997
15 years 6 months ago
1997
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...