354 search results - page 11 / 71 » Learning classifiers from only positive and unlabeled data |
CVPR
2007
IEEE
14 years 1 months ago
2007
IEEE
Aiming at the problem when both positive and negative training set are enormous, this paper proposes a novel Matrix-Structural Learning (MSL) method, as an extension to Viola and ...
MCS
2005
Springer
14 years 29 days ago
2005
Springer
We describe an ensemble learning approach that accurately learns from data that has been partitioned according to the arbitrary spatial requirements of a large-scale simulation whe...
ALT
2006
Springer
14 years 4 months ago
2006
Springer
A model for learning in the limit is defined where a (so-called iterative) learner gets all positive examples from the target language, tests every new conjecture with a teacher ...
ALT
2004
Springer
14 years 4 months ago
2004
Springer
In this paper we introduce a paradigm for learning in the limit of potentially infinite languages from all positive data and negative counterexamples provided in response to the ...
ICMLA
2007
13 years 9 months ago
2007
We apply a new active learning formulation to the problem of learning medical concepts from unstructured text. The new formulation is based on maximizing the mutual information th...