877 search results - page 24 / 176 » Selection of Subsets of Ordered Features in Machine Learning |
109
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IDA
2002
Springer
15 years 1 months ago
2002
Springer
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
120
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ICNC
2005
Springer
15 years 7 months ago
2005
Springer
Abstract. In recent years, support vector machines (SVMs) have become a popular tool for pattern recognition and machine learning. Training a SVM involves solving a constrained qua...
129
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SLSFS
2005
Springer
15 years 7 months ago
2005
Springer
Random projection is a simple technique that has had a number of applications in algorithm design. In the context of machine learning, it can provide insight into questions such as...
113
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ICMLA
2010
14 years 12 months ago
2010
Recently, the so-called Support Feature Machine (SFM) was proposed as a novel approach to feature selection for classification, based on minimisation of the zero norm of a separati...
140
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CIKM
2010
Springer
14 years 11 months ago
2010
Springer
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...