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SIAMSC
2010
159views more  SIAMSC 2010»
15 years 16 days ago
Parameter and State Model Reduction for Large-Scale Statistical Inverse Problems
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...
Chad Lieberman, Karen Willcox, Omar Ghattas
EMNLP
2009
14 years 12 months ago
Weighted Alignment Matrices for Statistical Machine Translation
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...
Yang Liu, Tian Xia, Xinyan Xiao, Qun Liu
CORR
2011
Springer
163views Education» more  CORR 2011»
14 years 9 months ago
Statistical Analysis of Link Scheduling on Long Paths
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...
Yashar Ghiassi-Farrokhfal, Jörg Liebeherr, Al...
RTSS
1999
IEEE
15 years 6 months ago
Design and Implementation of Statistical Rate Monotonic Scheduling in KURT Linux
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...
Alia Atlas, Azer Bestavros
IDA
2007
Springer
15 years 8 months ago
Learning to Align: A Statistical Approach
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...
Elisa Ricci, Tijl De Bie, Nello Cristianini