3694 search results - page 338 / 739 » Stochastic complexity in learning |
163
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SIGECOM
2004
ACM
16 years 2 days ago
2004
ACM
We consider the parallels between the preference elicitation problem in combinatorial auctions and the problem of learning an unknown function from learning theory. We show that l...
168
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CHI
1998
ACM
15 years 11 months ago
1998
ACM
We explore some of the complex issues surrounding the design and use of multimedia and Internet-based learning resources in distance education courses. We do so by analysing our e...
195
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SDM
2007
SIAM
15 years 8 months ago
2007
SIAM
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
160
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IADIS
2004
15 years 8 months ago
2004
This paper aims to provide an experimental vision of the process of course creation using learning objects obtained in the <e-aula> project, a pilot e-learning system concei...
185
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AI
2008
Springer
15 years 6 months ago
2008
Springer
Preference learning is a challenging problem that involves the prediction of complex structures, such as weak or partial order relations, rather than single values. In the recent ...