648 search results - page 53 / 130 » Large Margin Classification Using the Perceptron Algorithm |
170
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SIAMSC
2008
15 years 4 months ago
2008
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
158
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PKDD
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. We present a novel approach for classification using a discretised function representation which is independent of the data locations. We construct the classifier as a su...
146
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EUROPAR
2007
Springer
15 years 10 months ago
2007
Springer
In this paper we describe the parallelization of two nearest neighbour classification algorithms. Nearest neighbour methods are well-known machine learning techniques. They have be...
137
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JMLR
2010
14 years 11 months ago
2010
We discuss multiclass-multilabel classification problems in which the set of classes is extremely large. Most existing multiclass-multilabel learning algorithms expect to observe ...
154
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IFIP12
2008
15 years 6 months ago
2008
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...