937 search results - page 26 / 188 » Multi-Dimensional Text Classification |
138
click to vote
HIS
2001
15 years 3 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...
142
Voted
ICMLC
2010
Springer
15 years 12 days ago
2010
Springer
: Patent classification is a large scale hierarchical text classification (LSHTC) task. Though comprehensive comparisons, either learning algorithms or feature selection strategies...
131
click to vote
CIKM
2006
Springer
15 years 6 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...
113
click to vote
ICTIR
2009
Springer
15 years 5 days 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...
131
click to vote
AWIC
2007
Springer
15 years 8 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...