3694 search results - page 199 / 739 » Stochastic complexity in learning |
151
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EMNLP
2008
15 years 5 months ago
2008
A human annotator can provide hints to a machine learner by highlighting contextual "rationales" for each of his or her annotations (Zaidan et al., 2007). How can one ex...
148
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NECO
2007
15 years 3 months ago
2007
We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...
140
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ICML
2005
IEEE
16 years 5 months ago
2005
IEEE
Many real-world domains exhibit rich relational structure and stochasticity and motivate the development of models that combine predicate logic with probabilities. These models de...
133
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ATAL
2007
Springer
15 years 10 months ago
2007
Springer
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
158
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NLPRS
2001
Springer
15 years 8 months ago
2001
Springer
Recent research in automated learning has focused on algorithms that learn from a combination of tagged and untagged data. Such algorithms can be referred to as semi-supervised in...