74 search results - page 9 / 15 » Active Learning Strategies for Multi-Label Text Classificati... |
110
Voted
KDD
2010
ACM
15 years 1 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 ...
ICML
2003
IEEE
16 years 14 days ago
2003
IEEE
The paper extends the notion of linear programming boosting to handle uneven datasets. Extensive experiments with text classification problem compare the performance of a number o...
82
Voted
NIPS
2007
15 years 1 months ago
2007
We present a framework for active learning in the multiple-instance (MI) setting. In an MI learning problem, instances are naturally organized into bags and it is the bags, instea...
164
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SIGMOD
2006
ACM
15 years 11 months ago
2006
ACM
As data streams are gaining prominence in a growing number of emerging application domains, classification on data streams is becoming an active research area. Currently, the typi...
102
Voted
ICML
2009
IEEE
16 years 14 days ago
2009
IEEE
Dual supervision refers to the general setting of learning from both labeled examples as well as labeled features. Labeled features are naturally available in tasks such as text c...