103 search results - page 19 / 21 » Knowledge transfer for cross domain learning to rank |
106
Voted
AAAI
2012
12 years 12 months ago
2012
The study of transportability aims to identify conditions under which causal information learned from experiments can be reused in a different environment where only passive obser...
CVPR
2010
IEEE
15 years 6 months ago
2010
IEEE
For object category recognition to scale beyond a small number of classes, it is important that algorithms be able to learn from a small amount of labeled data per additional clas...
88
Voted
EMNLP
2008
14 years 11 months ago
2008
A human annotator can provide hints to a machine learner by highlighting contextual "rationales" for each of his or her annotations (Zaidan et al., 2007). How can one ex...
CBRMD
2008
14 years 9 months ago
2008
Intelligent analysis of heterogeneous data and information sources for efficient decision support presents an interesting yet challenging task in clinical environments. This is par...
95
Voted
KDD
2010
ACM
14 years 11 months ago
2010
ACM
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...