4 search results - page 1 / 1 » Sampling Strategies for Mining in Data-Scarce Domains |
CORR
2002
Springer
13 years 4 months ago
2002
Springer
KDD
2009
ACM
14 years 5 months ago
2009
ACM
When labeled examples are limited and difficult to obtain, transfer learning employs knowledge from a source domain to improve learning accuracy in the target domain. However, the...
PKDD
2009
Springer
13 years 9 months ago
2009
Springer
Abstract. This paper focuses on Active Learning with a limited number of queries; in application domains such as Numerical Engineering, the size of the training set might be limite...
SDM
2008
SIAM
13 years 6 months ago
2008
SIAM
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...