ICPR
2000
IEEE
14 years 5 months ago
2000
IEEE
In the recent years support vector machines (SVMs) have been successfully applied to solve a large number of classification problems. Training an SVM, usually posed as a quadrati...
ICPP
2000
IEEE
14 years 5 months ago
2000
IEEE
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
VLDB
2001
ACM
14 years 5 months ago
2001
ACM
This paper investigates the problem of incremental joins of multiple ranked data sets when the join condition is a list of arbitrary user-defined predicates on the input tuples. ...
SOFSEM
2001
Springer
14 years 5 months ago
2001
Springer
Knowledge discovery, that is, to analyze a given massive data set and derive or discover some knowledge from it, has been becoming a quite important subject in several fields incl...
MICCAI
2001
Springer
14 years 5 months ago
2001
Springer
Image registration is the process of establishing a common geometric reference frame between two or more data sets from the same or different imaging modalities possibly taken at ...
ICANN
2001
Springer
14 years 5 months ago
2001
Springer
Humans tend to group together related properties in order to understand complex phenomena. When modeling large problems with limited representational resources, it is important to...
WAIM
2009
Springer
14 years 5 months ago
2009
Springer
In the k-nearest neighbor (KNN) classifier, nearest neighbors involve only labeled data. That makes it inappropriate for the data set that includes very few labeled data. In this ...
GECCO
2009
Springer
14 years 5 months ago
2009
Springer
Typical domains used in machine learning analyses only partially cover the complexity space, remaining a large proportion of problem difficulties that are not tested. Since the ac...
FQAS
2009
Springer
14 years 5 months ago
2009
Springer
Some recent works have shown that the “perfect” selection of the best IR system per query could lead to a significant improvement on the retrieval performance. Motivated by thi...
CIARP
2009
Springer
14 years 5 months ago
2009
Springer
Abstract. In this work we propose a new method to create neural network ensembles. Our methodology develops over the conventional technique of bagging, where multiple classifiers ...