2278 search results - page 42 / 456 » Multiple-Instance Active Learning |
122
Voted
UAI
2004
15 years 2 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...
113
Voted
TIP
2008
15 years 18 days 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...
116
Voted
NIPS
2007
15 years 2 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...
117
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ECCV
2008
Springer
16 years 3 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...
107
Voted
KDD
1995
ACM
15 years 4 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...