3449 search results - page 497 / 690 » A Framework for Multiple-Instance Learning |
165
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COLT
2008
Springer
15 years 8 months ago
2008
Springer
Boosting algorithms build highly accurate prediction mechanisms from a collection of lowaccuracy predictors. To do so, they employ the notion of weak-learnability. The starting po...
180
Voted
AGI
2008
15 years 8 months ago
2008
: A series of hypotheses is proposed, connecting neural structures and dynamics with the formal structures and processes of probabilistic logic. First, a hypothetical connection is...
187
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EMNLP
2008
15 years 8 months ago
2008
We explore a stacked framework for learning to predict dependency structures for natural language sentences. A typical approach in graph-based dependency parsing has been to assum...
219
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NIPS
2008
15 years 8 months ago
2008
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
167
Voted
NIPS
2008
15 years 8 months ago
2008
We introduce a framework for actively learning visual categories from a mixture of weakly and strongly labeled image examples. We propose to allow the categorylearner to strategic...