4578 search results - page 517 / 916 » Learning from Multi-source Data |
146
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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...
123
Voted
SOFSEM
2001
Springer
15 years 9 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...
190
Voted
IDEAS
1998
IEEE
15 years 9 months ago
1998
IEEE
We develop an infrastructure for managing, indexing and serving multimedia content in digital libraries. This infrastructure follows the model of the web, and thereby is distribut...
166
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COLING
2008
15 years 6 months ago
2008
This paper explores the use of the homotopy method for training a semi-supervised Hidden Markov Model (HMM) used for sequence labeling. We provide a novel polynomial-time algorith...
164
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KDD
2005
ACM
16 years 5 months ago
2005
ACM
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...