595 search results - page 25 / 119 » Learning Patterns in Noisy Data: The AQ Approach |
137
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PRIB
2009
Springer
15 years 11 months ago
2009
Springer
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
141
Voted
ICDM
2007
IEEE
15 years 8 months ago
2007
IEEE
Recently the problem of dimensionality reduction (or, subspace learning) has received a lot of interests in many fields of information processing, including data mining, informati...
175
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ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
130
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APCHI
2004
IEEE
15 years 8 months ago
2004
IEEE
Haiku is a data mining system which combines the best properties of human and machine discovery. An self organising visualisation system is coupled with a genetic algorithm to prov...
123
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NIPS
2007
15 years 6 months ago
2007
We propose a Bayesian undirected graphical model for co-training, or more generally for semi-supervised multi-view learning. This makes explicit the previously unstated assumption...