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ATAL
2007
Springer
14 years 2 months ago
2007
Springer
Recommender Systems are used in various domains to generate personalized information based on personal user data. The ability to preserve the privacy of all participants is an ess...
SAC
2005
ACM
14 years 1 months ago
2005
ACM
Machine learning techniques are widely used in negotiation systems. To get more accurate and satisfactory learning results, negotiation parties have the desire to employ learning ...
ICCAD
1999
IEEE
14 years 6 days ago
1999
IEEE
We consider the problem of finding an optimal clock schedule, i.e. optimal arrival times for clock signals at latches of a VLSI chip. We describe a general model which includes al...
SAC
2008
ACM
13 years 7 months ago
2008
ACM
Generating adequate recommendations for newcomers is a hard problem for a recommender system (RS) due to lack of detailed user profiles and social preference data. Empirical evide...
SDM
2009
SIAM
14 years 5 months ago
2009
SIAM
This paper demonstrates the applicability of the recently proposed supervised dimension reduction, hierarchical linear discriminant analysis (h-LDA) to a well-known spatial locali...