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CORR
2008
Springer
158views Education» more  CORR 2008»
13 years 4 months ago
Distributed and Recursive Parameter Estimation in Parametrized Linear State-Space Models
We consider a network of sensors deployed to sense a spatio-temporal field and infer parameters of interest about the field. We are interested in the case where each sensor's...
S. Sundhar Ram, Venugopal V. Veeravalli, Angelia N...
KDD
2010
ACM
274views Data Mining» more  KDD 2010»
13 years 8 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
APPROX
2004
Springer
108views Algorithms» more  APPROX 2004»
13 years 10 months ago
Estimating Frequency Moments of Data Streams Using Random Linear Combinations
The problem of estimating the kth frequency moment Fk for any nonnegative k, over a data stream by looking at the items exactly once as they arrive, was considered in a seminal pap...
Sumit Ganguly
ALGORITHMICA
1999
99views more  ALGORITHMICA 1999»
13 years 4 months ago
A Note on the Expected Time for Finding Maxima by List Algorithms
Maxima in Rd are found incrementally by maintaining a linked list and comparing new elements against the linked list. If the elements are independent and uniformly distributed in t...
Luc Devroye