83 search results - page 4 / 17 » Stability of feature selection algorithms: a study on high-d... |
ACL
1998
13 years 7 months ago
1998
We present an architecture and an on-line learning algorithm and apply it to the problem of part-ofspeech tagging. The architecture presented, SNOW, is a network of linear separat...
NPL
2002
13 years 5 months ago
2002
The `kernel approach' has attracted great attention with the development of support vector machine (SVM) and has been studied in a general way. It offers an alternative soluti...
KDD
2003
ACM
14 years 6 months ago
2003
ACM
Using visualization techniques to explore and understand high-dimensional data is an efficient way to combine human intelligence with the immense brute force computation power ava...
CIKM
2010
Springer
13 years 3 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, ...
ECML
2007
Springer
13 years 12 months ago
2007
Springer
The stability of sample based algorithms is a concept commonly used for parameter tuning and validity assessment. In this paper we focus on two well studied algorithms, LSI and PCA...