2278 search results - page 42 / 456 » Multiple-Instance Active Learning |
UAI
2004
13 years 11 months ago
2004
Collaborative filtering is a useful technique for exploiting the preference patterns of a group of users to predict the utility of items for the active user. In general, the perfo...
TIP
2008
13 years 9 months ago
2008
Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extensio...
NIPS
2007
13 years 11 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...
ECCV
2008
Springer
14 years 12 months ago
2008
Springer
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
KDD
1995
ACM
14 years 1 months ago
1995
ACM
Techniques for learning from data typically require data to be in standard form. Measurements must be encoded in a numerical format such as binary true-or-false features, numerica...