9 search results - page 1 / 2 » Discriminative Batch Mode Active Learning |
NIPS
2007
13 years 10 months ago
2007
Active learning sequentially selects unlabeled instances to label with the goal of reducing the effort needed to learn a good classifier. Most previous studies in active learning...
CVPR
2011
IEEE
13 years 6 months ago
2011
IEEE
Active learning techniques have gained popularity in reducing human effort to annotate data instances for inducing a classifier. When faced with large quantities of unlabeled dat...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
Active learning has been shown as a key technique for improving content-based image retrieval (CBIR) performance. Among various methods, support vector machine (SVM) active learni...
WWW
2006
ACM
14 years 9 months ago
2006
ACM
Large-scale text categorization is an important research topic for Web data mining. One of the challenges in large-scale text categorization is how to reduce the amount of human e...