963 search results - page 12 / 193 » Active Learning by Labeling Features |
ICML
2010
IEEE
15 years 23 days ago
2010
IEEE
We introduce a novel active learning algorithm for classification of network data. In this setting, training instances are connected by a set of links to form a network, the label...
122
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NIPS
2008
15 years 1 months ago
2008
We present an approach that combines bag-of-words and spatial models to perform semantic and syntactic analysis for recognition of an object based on its internal appearance and i...
109
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KDD
2010
ACM
15 years 3 months ago
2010
ACM
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
107
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ICML
2008
IEEE
16 years 15 days ago
2008
IEEE
Learning to rank is becoming an increasingly popular research area in machine learning. The ranking problem aims to induce an ordering or preference relations among a set of insta...
105
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AAAI
2011
13 years 11 months ago
2011
Applications that adapt to a particular end user often make inaccurate predictions during the early stages when training data is limited. Although an end user can improve the lear...