1456 search results - page 205 / 292 » Preference Modelling |
150
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EDBT
2012
ACM
13 years 7 months ago
2012
ACM
Most recommendation methods (e.g., collaborative filtering) consist of (1) a computationally intense offline phase that computes a recommender model based on users’ opinions o...
126
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ANOR
2005
15 years 4 months ago
2005
This paper discusses decision making of project funding allocation under uncertain project costs. Because project costs are uncertain and funding allocations may not necessarily ma...
190
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BMCBI
2007
15 years 4 months ago
2007
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
128
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RECONFIG
2009
IEEE
15 years 11 months ago
2009
IEEE
BLASTn is a ubiquitous tool used for large scale DNA analysis. Detailed profiling tests reveal that the most computationally intensive sections of the BLASTn algorithm are the sc...
130
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PERCOM
2003
ACM
16 years 4 months ago
2003
ACM
Mobile computing adds a mostly unexplored dimension to data mining: user's position is a relevant piece of information, and recommendation systems, selecting and ranking link...