1578 search results - page 158 / 316 » Temporal Data Classification Using Linear Classifiers |
121
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CIKM
2008
Springer
15 years 5 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
134
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NIPS
2004
15 years 4 months ago
2004
This paper presents an application of Boosting for classifying labeled graphs, general structures for modeling a number of real-world data, such as chemical compounds, natural lan...
121
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SDM
2008
SIAM
15 years 4 months ago
2008
SIAM
The Universum data, defined as a collection of "nonexamples" that do not belong to any class of interest, have been shown to encode some prior knowledge by representing ...
128
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PR
2008
15 years 3 months ago
2008
This paper presents a strategy to improve the AdaBoost algorithm with a quadratic combination of base classifiers. We observe that learning this combination is necessary to get be...
110
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AIR
2005
15 years 3 months ago
2005
The Support Vector Machine (SVM) has emerged in recent years as a popular approach to the classification of data. One problem that faces the user of an SVM is how to choose a kerne...