937 search results - page 26 / 188 » Multi-Dimensional Text Classification |
126
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HIS
2001
15 years 2 months ago
2001
Abstract. Linear Discriminant (LD) techniques are typically used in pattern recognition tasks when there are many (n >> 104 ) datapoints in low-dimensional (d < 102 ) spac...
128
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ICMLC
2010
Springer
14 years 11 months ago
2010
Springer
: Patent classification is a large scale hierarchical text classification (LSHTC) task. Though comprehensive comparisons, either learning algorithms or feature selection strategies...
119
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CIKM
2006
Springer
15 years 5 months ago
2006
Springer
Classification algorithms and document representation approaches are two key elements for a successful document classification system. In the past, much work has been conducted to...
101
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ICTIR
2009
Springer
14 years 11 months ago
2009
Springer
Abstract. In text classification (TC) and other tasks involving supervised learning, labelled data may be scarce or expensive to obtain; strategies are thus needed for maximizing t...
118
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AWIC
2007
Springer
15 years 7 months ago
2007
Springer
A major difficulty of supervised approaches for text classification is that they require a great number of training instances in order to construct an accurate classifier. This pap...