245 search results - page 7 / 49 » Can Document Selection Help Semi-supervised Learning |
ECIR
2010
Springer
13 years 11 months ago
2010
Springer
Abstract. Learning To Rank (LTR) techniques aim to learn an effective document ranking function by combining several document features. While the function learned may be uniformly ...
ICWSM
2008
13 years 11 months ago
2008
Identifying topics and concepts associated with a set of documents is a task common to many applications. It can help in the annotation and categorization of documents and be used...
NAACL
1994
13 years 11 months ago
1994
The normal practice of selecting relevant documents for training routing queries is to either use all relevants or the 'best n' of them after a (retrieval) ranking opera...
NAACL
2004
13 years 11 months ago
2004
Supervised estimation methods are widely seen as being superior to semi and fully unsupervised methods. However, supervised methods crucially rely upon training sets that need to ...
AUSDM
2008
Springer
13 years 12 months ago
2008
Springer
Supervised text categorization is a machine learning task where a predefined category label is automatically assigned to a previously unlabelled document based upon characteristic...