297 search results - page 18 / 60 » Learning from Ambiguously Labeled Examples |
ICDM
2006
IEEE
14 years 5 months ago
2006
IEEE
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
SIGMOD
2010
ACM
14 years 3 months ago
2010
ACM
We consider the problem of learning a record matching package (classifier) in an active learning setting. In active learning, the learning algorithm picks the set of examples to ...
MLMI
2007
Springer
14 years 5 months ago
2007
Springer
In conversational speech, irregularities in the speech such as overlaps and disruptions make it difficult to decide what is a sentence. Thus, despite very precise guidelines on how...
LRE
2008
13 years 11 months ago
2008
This paper presents a methodology for automatic learning of ontologies from Thai text corpora, by extraction of terms and relations. A shallow parser is used to chunk texts on whic...
KDD
2007
ACM
14 years 11 months ago
2007
ACM
In many data mining applications, online labeling feedback is only available for examples which were predicted to belong to the positive class. Such applications include spam filt...