2065 search results - page 207 / 413 » Using Architectural Models at Runtime: Research Challenges |
210
Voted
ICANN
2005
Springer
16 years 15 days ago
2005
Springer
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
151
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MMM
2009
Springer
16 years 3 months ago
2009
Springer
Object category recognition in various appearances is one of the most challenging task in the object recognition research fields. The major approach to solve the task is using the...
200
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ICFP
2005
ACM
16 years 7 months ago
2005
ACM
Implementing first-class continuations can pose a challenge if the target machine makes no provisions for accessing and re-installing the run-time stack. In this paper, we present...
157
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OTM
2005
Springer
16 years 14 days ago
2005
Springer
The immaturity of the field of context-aware computing means that little is known about how to incorporate appropriate personalisation mechanisms into context-aware applications. ...
170
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BIBE
2005
IEEE
16 years 18 days ago
2005
IEEE
Prediction of protein tertiary structure based on amino acid sequence is one of the most challenging open questions in computational molecular biology. The two most common experim...