2295 search results - page 157 / 459 » Learning Overcomplete Representations |
107
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CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
In this paper, we address the problem of representing human actions using visual cues for the purpose of learning and recognition. Traditional approaches model actions as space-ti...
115
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EMNLP
2010
14 years 10 months ago
2010
This paper addresses the problem of learning to map sentences to logical form, given training data consisting of natural language sentences paired with logical representations of ...
100
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DIAGRAMS
2004
Springer
15 years 6 months ago
2004
Springer
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...
132
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AAAI
2006
15 years 2 months ago
2006
Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...
89
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KES
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. In exploratory learning environments, learners can use different strategies to solve a problem. To the designer or teacher, however, not all these strategies are known in...