2363 search results - page 144 / 473 » Learning Algorithms for Domain Adaptation |
158
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AAAI
2011
14 years 3 months ago
2011
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
166
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ECCV
2004
Springer
16 years 5 months ago
2004
Springer
The problem of interactive foreground/background segmentation in still images is of great practical importance in image editing. The state of the art in interactive segmentation is...
123
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CAI
2007
Springer
15 years 9 months ago
2007
Springer
Abstract. We generalize a learning algorithm originally devised for deterministic all-accepting weighted tree automata (wta) to the setting of arbitrary deterministic wta. The lear...
118
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ATAL
2006
Springer
15 years 6 months ago
2006
Springer
RVRL (Rule Value Reinforcement Learning) is a new algorithm which extends an existing learning framework that models the environment of a situated agent using a probabilistic rule...
152
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ICMLA
2009
15 years 26 days ago
2009
Languages that combine predicate logic with probabilities are needed to succinctly represent knowledge in many real-world domains. We consider a formalism based on universally qua...