319 search results - page 2 / 64 » Analysis of Perceptron-Based Active Learning |
NIPS
2004
13 years 6 months ago
2004
act out the core search problem of active learning schemes, to better understand the extent to which adaptive labeling can improve sample complexity. We give various upper and low...
ACL
2011
12 years 9 months ago
2011
We present a pointwise approach to Japanese morphological analysis (MA) that ignores structure information during learning and tagging. Despite the lack of structure, it is able t...
ACCV
2010
Springer
13 years 1 months ago
2010
Springer
We present a new active learning approach to incorporate
human feedback for on-line unusual event detection. In contrast to most
existing unsupervised methods that perform passiv...
IJON
2010
13 years 4 months ago
2010
An active learner usually assumes there are some labeled data available based on which a moderate classifier is learned and then examines unlabeled data to manually label the mos...
IGARSS
2009
13 years 3 months ago
2009
Supervised learners can be used to automatically classify many types of spatially distributed data. For example, land cover classification by hyperspectral image data analysis is ...