96 search results - page 4 / 20 » Classifying large data sets using SVMs with hierarchical clu... |
APIN
2000
13 years 5 months ago
2000
: A new dynamic tree structured network - the Stochastic Competitive Evolutionary Neural Tree (SCENT) is introduced. The network is able to provide a hierarchical classification of...
ICANN
2007
Springer
13 years 9 months ago
2007
Springer
Abstract. Trained support vector machines (SVMs) have a slow runtime classification speed if the classification problem is noisy and the sample data set is large. Approximating the...
JMLR
2010
13 years 9 days ago
2010
To handle problems created by large data sets, we propose a method that uses a decision tree to decompose a given data space and train SVMs on the decomposed regions. Although the...
MLDM
2005
Springer
13 years 11 months ago
2005
Springer
In this paper we present a method to cluster large datasets that change over time using incremental learning techniques. The approach is based on the dynamic representation of clus...
KDD
2010
ACM
13 years 7 months ago
2010
ACM
Recent advances in linear classification have shown that for applications such as document classification, the training can be extremely efficient. However, most of the existing t...