6 search results - page 1 / 2 » Cost-minimising strategies for data labelling : optimal stop... |
100
Voted
FOIKS
2008
Springer
15 years 13 days ago
2008
Springer
Supervised learning deals with the inference of a distribution over an output or label space Y conditioned on points in an observation space X , given a training dataset D of pair...
126
Voted
FOIKS
2008
Springer
15 years 7 months ago
2008
Springer
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
PKDD
2009
Springer
15 years 5 months ago
2009
Springer
Data domain description techniques aim at deriving concise descriptions of objects belonging to a category of interest. For instance, the support vector domain description (SVDD) l...
KDD
2009
ACM
15 years 11 months ago
2009
ACM
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
76
Voted
NIPS
2007
15 years 9 days ago
2007
Rare category detection is an open challenge for active learning, especially in the de-novo case (no labeled examples), but of significant practical importance for data mining - ...