15351 search results - page 364 / 3071 » The information bottleneck method |
119
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ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
An important issue in reinforcement learning is how to incorporate expert knowledge in a principled manner, especially as we scale up to real-world tasks. In this paper, we presen...
126
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ACIVS
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
137
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AIPR
2008
IEEE
15 years 10 months ago
2008
IEEE
– This paper addresses the exploitation of massive numbers of image-derived change detections. We use the term “change analysis” to emphasize the intelligence value obtained ...
SEMWEB
2007
Springer
15 years 9 months ago
2007
Springer
In different areas ontologies have been developed and many of these ontologies contain overlapping information. Often we would therefore want to be able to use multiple ontologies...
137
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IJCNN
2006
IEEE
15 years 9 months ago
2006
IEEE
— Neuronal morphology plays a crucial role in the information processing capabilities of neurons. Despite the importance of morphology for neural functionality, biological data i...