14 search results - page 1 / 3 » Learning to Find Relevant Biological Articles without Negati... |
AUSAI
2008
Springer
13 years 6 months ago
2008
Springer
Classifiers are traditionally learned using sets of positive and negative training examples. However, often a classifier is required, but for training only an incomplete set of pos...
TREC
2004
13 years 5 months ago
2004
Gene Ontology (GO) is a controlled vocabulary. Given a gene product, GO enables scientists to clearly and unambiguously describe specific molecular functions of the gene product, ...
CIKM
2009
Springer
13 years 11 months ago
2009
Springer
Background: Finding relevant articles from PubMed is challenging because it is hard to express the user’s specific intention in the given query interface, and a keyword query ty...
SDM
2004
SIAM
13 years 5 months ago
2004
SIAM
Automatic classification of documents is an important area of research with many applications in the fields of document searching, forensics and others. Methods to perform classif...
KDD
2008
ACM
14 years 4 months ago
2008
ACM
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...