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ISCAS
2006
IEEE
100views Hardware» more  ISCAS 2006»
15 years 5 months ago
Dynamic control of spinal locomotion circuits
We show that an ongoing locomotor pattern can that the physiology of the lamprey's spinal system generalizes to be modulated by application of discrete electrical stimuli to l...
R. Jacob Vogelstein, Ralph Etienne-Cummings, Nitis...
JMLR
2006
169views more  JMLR 2006»
14 years 11 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
BMCBI
2005
178views more  BMCBI 2005»
14 years 11 months ago
A quantization method based on threshold optimization for microarray short time series
Background: Reconstructing regulatory networks from gene expression profiles is a challenging problem of functional genomics. In microarray studies the number of samples is often ...
Barbara Di Camillo, Fatima Sanchez-Cabo, Gianna To...
NECO
2002
104views more  NECO 2002»
14 years 11 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
BMCBI
2010
178views more  BMCBI 2010»
14 years 12 months ago
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests
Background: Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example K...
David Edwards, Gabriel C. G. de Abreu, Rodrigo Lab...