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» Compiling Bayesian Networks Using Variable Elimination
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IEEEARES
2008
IEEE
14 years 1 months ago
Reliability Analysis using Graphical Duration Models
Reliability analysis has become an integral part of system design and operating. This is especially true for systems performing critical tasks such as mass transportation systems....
Roland Donat, Laurent Bouillaut, Patrice Aknin, Ph...
NECO
2002
104views more  NECO 2002»
13 years 7 months ago
An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
Harri Valpola, Juha Karhunen
CORR
2011
Springer
144views Education» more  CORR 2011»
13 years 2 months ago
Schema Redescription in Cellular Automata: Revisiting Emergence in Complex Systems
—We present a method to eliminate redundancy in the transition tables of Boolean automata: schema redescription with two symbols. One symbol is used to capture redundancy of indi...
Manuel Marques-Pita, Luis Mateus Rocha
ISCA
1999
IEEE
105views Hardware» more  ISCA 1999»
13 years 11 months ago
The Program Decision Logic Approach to Predicated Execution
Modern compilers must expose sufficient amounts of Instruction-Level Parallelism (ILP) to achieve the promised performance increases of superscalar and VLIW processors. One of the...
David I. August, John W. Sias, Jean-Michel Puiatti...
18
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ICDAR
2003
IEEE
14 years 23 days ago
Learning the lexicon from raw texts for open-vocabulary Korean word recognition
In this paper, we propose a novel method of building a language model for open-vocabulary Korean word recognition. Due to the complex morphology of Korean, it is inappropriate to ...
Sungho Ryu, Jin Hyung Kim