1364 search results - page 157 / 273 » Sampling Methods for Unsupervised Learning |
127
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NIPS
2008
15 years 4 months ago
2008
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
147
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ISVC
2010
Springer
15 years 1 months ago
2010
Springer
In this paper, we propose an automatic learning method for gesture recognition. We combine two different pattern recognition techniques: the SelfOrganizing Map (SOM) and Support Ve...
127
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IDA
2003
Springer
15 years 7 months ago
2003
Springer
Abstract. Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any mode...
121
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PKDD
2009
Springer
15 years 9 months ago
2009
Springer
Abstract. This paper presents a novel feature selection method for classification of high dimensional data, such as those produced by microarrays. It includes a partial supervisio...
231
Voted
ROCAI
2004
Springer
15 years 8 months ago
2004
Springer
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...