5860 search results - page 147 / 1172 » Learning and Domain Adaptation |
197
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EWCBR
1993
Springer
15 years 10 months ago
1993
Springer
A major advantage in using a case-based approach to developing knowledge-based systems is that it can be applied to problems where a strong domain theory may be difficult to determ...
163
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JBI
2007
15 years 6 months ago
2007
Measures of semantic similarity between concepts are widely used in Natural Language Processing. In this article, we show how six existing domain-independent measures can be adapt...
135
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ICCBR
2003
Springer
15 years 11 months ago
2003
Springer
In [1] we propose interchangeability based algorithms as methods for solving the case adaptation for the domain of problems which can be expressed as Constraint Satisfaction Proble...
150
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RAS
2010
15 years 4 months ago
2010
Policy Reuse is a reinforcement learning technique that efficiently learns a new policy by using past similar learned policies. The Policy Reuse learner improves its exploration b...
156
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ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
When modeling high-dimensional richly structured data, it is often the case that the distribution defined by the Deep Boltzmann Machine (DBM) has a rough energy landscape with man...