147 search results - page 13 / 30 » Pattern Recognition for Conditionally Independent Data |
PRL
2006
14 years 9 months ago
2006
Data reduction plays an important role in machine learning and pattern recognition with a high-dimensional data. In real-world applications data usually exists with hybrid formats...
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KDD
2002
ACM
15 years 10 months ago
2002
ACM
Large 0-1 datasets arise in various applications, such as market basket analysis and information retrieval. We concentrate on the study of topic models, aiming at results which in...
MCS
2007
Springer
15 years 3 months ago
2007
Springer
Rotation Forest is a recently proposed method for building classifier ensembles using independently trained decision trees. It was found to be more accurate than bagging, AdaBoost...
127
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PROCEDIA
2011
14 years 10 days ago
2011
A new challenge in scientific computing is to merge existing simulation models to create new higher fidelity combined (often multi-level) models. While this challenge has been a...
BMCBI
2006
14 years 9 months ago
2006
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...