648 search results - page 53 / 130 » Large Margin Classification Using the Perceptron Algorithm |
SIAMSC
2008
13 years 7 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 ...
PKDD
2010
Springer
13 years 5 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...
EUROPAR
2007
Springer
14 years 1 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...
JMLR
2010
13 years 2 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 ...
IFIP12
2008
13 years 9 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...