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SIAMJO
2010
83views more  SIAMJO 2010»
15 years 2 days ago
The Lifted Newton Method and Its Application in Optimization
Abstract. We present a new “lifting” approach for the solution of nonlinear optimization problems (NLPs) that have objective and constraint functions with intermediate variable...
Jan Albersmeyer, Moritz Diehl
SIGMOD
2007
ACM
125views Database» more  SIGMOD 2007»
16 years 1 months ago
Optimizing mpf queries: decision support and probabilistic inference
Managing uncertain data using probabilistic frameworks has attracted much interest lately in the database literature, and a central computational challenge is probabilistic infere...
Héctor Corrada Bravo, Raghu Ramakrishnan
ICML
2006
IEEE
16 years 2 months ago
A continuation method for semi-supervised SVMs
Semi-Supervised Support Vector Machines (S3 VMs) are an appealing method for using unlabeled data in classification: their objective function favors decision boundaries which do n...
Olivier Chapelle, Mingmin Chi, Alexander Zien
DFT
2005
IEEE
64views VLSI» more  DFT 2005»
15 years 7 months ago
Implementation of Concurrent Checking Circuits by Independent Sub-circuits
The present paper proposes a new method for detecting arbitrary faults in a functional circuit when the set of codewords is limited and known in advance. The method is based on im...
Vladimir Ostrovsky, Ilya Levin
TSP
2008
129views more  TSP 2008»
15 years 3 days ago
A Basic Convergence Result for Particle Filtering
The basic nonlinear filtering problem for dynamical systems is considered. Approximating the optimal filter estimate by particle filter methods has become perhaps the most common a...
Xiao-Li Hu, Thomas B. Schön, Lennart Ljung