392 search results - page 2 / 79 » Selecting a Relevant Set of Examples to Learn IE-Rules |
TCBB
2011
12 years 12 months ago
2011
—In biomedical data, the imbalanced data problem occurs frequently and causes poor prediction performance for minority classes. It is because the trained classifiers are mostly d...
NIPS
2004
13 years 6 months ago
2004
We describe a framework for learning an object classifier from a single example. This goal is achieved by emphasizing the relevant dimensions for classification using available ex...
SIGIR
2012
ACM
11 years 7 months ago
2012
ACM
In crowdsourced relevance judging, each crowd worker typically judges only a small number of examples, yielding a sparse and imbalanced set of judgments in which relatively few wo...
ECML
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. Active learning algorithms attempt to accelerate the learning process by requesting labels for the most informative items first. In real-world problems, however, there ma...
FLAIRS
2008
13 years 7 months ago
2008
We introduce a method to deal with the problem of learning from imbalanced data sets, where examples of one class significantly outnumber examples of other classes. Our method sel...