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SIAMSC
2010
159views more  SIAMSC 2010»
13 years 8 months 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
13 years 7 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»
13 years 5 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
14 years 2 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
14 years 4 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