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CACM
2011
120views more  CACM 2011»
15 years 2 months ago
The sequence memoizer
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
Frank Wood, Jan Gasthaus, Cédric Archambeau...
IJCNN
2000
IEEE
15 years 10 months ago
Competing Hidden Markov Models on the Self-Organizing Map
This paper presents an unsupervised segmentation method for feature sequences based on competitivelearning hidden Markov models. Models associated with the nodes of the Self-Organ...
Panu Somervuo
PATMOS
2004
Springer
16 years 16 days ago
Physical Extension of the Logical Effort Model
Abstract. The logical effort method has appeared very convenient for fast estimation and optimization of single paths. However it necessitates a calibration of all the gates of the...
B. Lasbouygues, Robin Wilson, Philippe Maurine, Na...
WSC
2007
15 years 9 months ago
Modeling and simulation of hard disk dive final assembly using a HDD template
A HDD template is designed and developed for modeling and simulation for final assembly of hard disk drive (HDD) manufacturing using Arena. The designed HDD template is a high fle...
Ahad Ali, Robert de Souza
CSDA
2007
108views more  CSDA 2007»
15 years 7 months ago
Nonlinear random effects mixture models: Maximum likelihood estimation via the EM algorithm
Nonlinear random effects models with finite mixture structures are used to identify polymorphism in pharmacokinetic/ pharmacodynamic (PK/PD) phenotypes. An EM algorithm for maxim...
Xiaoning Wang, Alan Schumitzky, David Z. D'Argenio