2884 search results - page 340 / 577 » Evaluating learning algorithms and classifiers |
SDM
2008
SIAM
13 years 11 months ago
2008
SIAM
Most clustering algorithms produce a single clustering for a given data set even when the data can be clustered naturally in multiple ways. In this paper, we address the difficult...
TJS
2010
13 years 8 months ago
2010
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
ICPPW
2002
IEEE
14 years 3 months ago
2002
IEEE
generally meta-data, so that documents on any specific subject can be transparently retrieved. While quality control can in principle still rely on the traditional methods of peer-...
SDM
2011
SIAM
13 years 1 months ago
2011
SIAM
This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...
ICML
2000
IEEE
14 years 11 months ago
2000
IEEE
This paper has no novel learning or statistics: it is concerned with making a wide class of preexisting statistics and learning algorithms computationally tractable when faced wit...