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SIAMSC
2010
14 years 10 months ago
2010
A greedy algorithm for the construction of a reduced model with reduction in both parameter and state is developed for efficient solution of statistical inverse problems governed b...
EMNLP
2009
14 years 9 months ago
2009
Current statistical machine translation systems usually extract rules from bilingual corpora annotated with 1-best alignments. They are prone to learn noisy rules due to alignment...
CORR
2011
Springer
14 years 6 months ago
2011
Springer
We study how the choice of packet scheduling algorithms influences end-to-end performance on long network paths. Taking a network calculus approach, we consider both deterministi...
RTSS
1999
IEEE
15 years 4 months ago
1999
IEEE
Statistical Rate Monotonic Scheduling (SRMS) is a generalization of the classical RMS results of Liu and Layland [LL73] for periodic tasks with highly variable execution times and...
IDA
2007
Springer
15 years 6 months ago
2007
Springer
We present a new machine learning approach to the inverse parametric sequence alignment problem: given as training examples a set of correct pairwise global alignments, find the p...