283 search results - page 23 / 57 » Abstracting Reusable Cases from Reinforcement Learning |
WWW
2004
ACM
15 years 11 months ago
2004
ACM
The ontological representation of learning objects is a way to deal with the interoperability and reusability of learning objects (including metadata) through providing a semantic...
133
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ALT
2009
Springer
15 years 8 months ago
2009
Springer
Abstract. We analyze the expected cost of a greedy active learning algorithm. Our analysis extends previous work to a more general setting in which different queries have differe...
ALT
2009
Springer
15 years 8 months ago
2009
Springer
Abstract. Learning from streams is a process in which a group of learners separately obtain information about the target to be learned, but they can communicate with each other in ...
98
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ACL
2010
14 years 9 months ago
2010
We present a data-driven approach to learn user-adaptive referring expression generation (REG) policies for spoken dialogue systems. Referring expressions can be difficult to unde...
UML
2005
Springer
15 years 4 months ago
2005
Springer
Use cases are a popular method for capturing and structuring software requirements. The informality of use cases is both a blessing and a curse. It enables easy application and lea...