3718 search results - page 196 / 744 » On learning with dissimilarity functions |
169
Voted
IJCNLP
2005
Springer
15 years 11 months ago
2005
Springer
This paper studies the problem of mining relational data hidden in natural language text. In particular, it approaches the relation classification problem with the strategy of tra...
156
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ICANN
1997
Springer
15 years 10 months ago
1997
Springer
: We present the implementation of on-line Hebbian learning for NESPINN, the Neurocomputer for the simulation of spiking neurons. In order to support various forms of Hebbian learn...
174
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ESANN
2008
15 years 7 months ago
2008
The Sensitivity-Based Linear Learning Method (SBLLM) is a learning method for two-layer feedforward neural networks, based on sensitivity analysis, that calculates the weights by s...
192
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NIPS
2007
15 years 7 months ago
2007
In this paper we model relational random variables on the edges of a network using Gaussian processes (GPs). We describe appropriate GP priors, i.e., covariance functions, for dir...
175
Voted
NIPS
2003
15 years 7 months ago
2003
We consider the general problem of learning from labeled and unlabeled data, which is often called semi-supervised learning or transductive inference. A principled approach to sem...