97 search results - page 6 / 20 » Linear Discriminant Text Classification in High Dimension |
NIPS
2004
13 years 9 months ago
2004
Linear Discriminant Analysis (LDA) is a well-known method for feature extraction and dimension reduction. It has been used widely in many applications such as face recognition. Re...
JMLR
2008
13 years 7 months ago
2008
We show that the relevant information of a supervised learning problem is contained up to negligible error in a finite number of leading kernel PCA components if the kernel matche...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
ICDM
2009
IEEE
13 years 5 months ago
2009
IEEE
Text classification poses some specific challenges. One such challenge is its high dimensionality where each document (data point) contains only a small subset of them. In this pap...
SIBGRAPI
2006
IEEE
14 years 1 months ago
2006
IEEE
Statistical discrimination methods are suitable not only for classification but also for characterisation of differences between a reference group of patterns and the population u...