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159
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ICALT
2005
IEEE
16 years 6 days ago
2005
IEEE
In this paper we suggest that if semantics are to fullfil their potential in the learning domain then a paradigm shift in perspective is necessry from information based content de...
178
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NIPS
2008
15 years 8 months ago
2008
In this theoretical contribution we provide mathematical proof that two of the most important classes of network learning - correlation-based differential Hebbian learning and rew...
185
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IJCAI
1997
15 years 8 months ago
1997
The objective of this work is to interpret inductive results obtained by the unsupervised learning method OSHAM. We briefly introduce the learning process of OSHAM, that extracts ...
185
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ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
We study metric learning as a problem of information retrieval. We present a general metric learning algorithm, based on the structural SVM framework, to learn a metric such that ...
178
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TSD
2010
Springer
15 years 4 months ago
2010
Springer
The main idea of a priori machine learning is to apply a machine learning method on a machine learning problem itself. We call it "a priori" because the processed data se...