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95
Voted
NIPS
2001
15 years 1 months ago
2001
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
76
Voted
TSMC
2002
15 years 9 hour ago
2002
Object-orientation and distributed systems are quickly becoming norms for new system development, generating renewed interest in distribution schemes traditionally directed at rela...
88
Voted
RECOMB
2006
Springer
16 years 21 days ago
2006
Springer
Permutation of class labels is a common approach to build null distributions for significance analyis of microarray data. It is assumed to produce random score distributions, which...
101
Voted
ICC
2007
IEEE
15 years 6 months ago
2007
IEEE
—Opportunistic scheduling in random beamforming maximizes the sum-rate by allocating resources to the users with the best channel condition, thus leveraging on multiuser diversit...
79
Voted
COR
2010
15 years 14 days ago
2010
This paper studies a new generalization of the regular permutation flowshop scheduling problem (PFSP) referred to as the distributed permutation flowshop scheduling problem or DPF...