4578 search results - page 559 / 916 » Learning from Multi-source Data |
178
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ECML
2007
Springer
16 years 16 days ago
2007
Springer
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
167
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KDD
2004
ACM
15 years 11 months ago
2004
ACM
Like many purely data-driven machine learning methods, Support Vector Machine (SVM) classifiers are learned exclusively from the evidence presented in the training dataset; thus ...
207
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ECCB
2003
IEEE
15 years 11 months ago
2003
IEEE
This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactio...
235
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AUSDM
2008
Springer
15 years 8 months ago
2008
Springer
Malware detection is an important problem today. New malware appears every day and in order to be able to detect it, it is important to recognize families of existing malware. Dat...
166
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NAACL
2007
15 years 7 months ago
2007
PropBank has been widely used as training data for Semantic Role Labeling. However, because this training data is taken from the WSJ, the resulting machine learning models tend to...