3949 search results - page 290 / 790 » Machine Learning and Data Mining |
155
Voted
KDD
2004
ACM
16 years 4 months ago
2004
ACM
In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseas...
111
Voted
FLAIRS
2004
15 years 5 months ago
2004
Clustering is a form of unsupervised machine learning. In this paper, we proposed the DBRS_O method to identify clusters in the presence of intersected obstacles. Without doing an...
128
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KDD
1999
ACM
15 years 8 months ago
1999
ACM
Managers of electronic commerce sites need to learn as much as possible about their customers and those browsing their virtual premises, in order to maximise the return on marketin...
122
Voted
BIOCOMP
2006
15 years 5 months ago
2006
- The rapid growth in the amount of molecular genetic data being collected will, in many cases, require the development of new analytic methods for the analysis of that data. In th...
127
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ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
In this paper we propose a novel clustering algorithm based on maximizing the mutual information between data points and clusters. Unlike previous methods, we neither assume the d...