949 search results - page 55 / 190 » Can Doxastic Agents Learn |
287
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BICA
2010
14 years 7 months ago
2010
Deep-layer machine learning architectures continue to emerge as a promising biologically-inspired framework for achieving scalable perception in artificial agents. State inference ...
115
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AAAI
2011
14 years 23 days 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...
119
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AAAI
2012
13 years 3 months ago
2012
Probabilistic relational PCA (PRPCA) can learn a projection matrix to perform dimensionality reduction for relational data. However, the results learned by PRPCA lack interpretabi...
132
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AAAI
2012
13 years 3 months ago
2012
We propose to model relative attributes1 that capture the relationships between images and objects in terms of human-nameable visual properties. For example, the models can captur...
105
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WWW
2001
ACM
16 years 1 months ago
2001
ACM
Active learning is an e ective learning approach. In this paper, we present an intelligent agent assisted environment for active learning. The system is to better support studentc...