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NECO
2002
104views more  NECO 2002»
15 years 6 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
NPL
1998
175views more  NPL 1998»
15 years 6 months ago
Prediction of Chaotic Time-Series with a Resource-Allocating RBF Network
Abstract. One of the main problems associated with arti cial neural networks online learning methods is the estimation of model order. In this paper, we report about a new approach...
Roman Rosipal, Milos Koska, Igor Farkas
TSMC
2008
177views more  TSMC 2008»
15 years 4 months ago
Adaptive Critic Learning Techniques for Engine Torque and Air-Fuel Ratio Control
A new approach for engine calibration and control is proposed. In this paper, we present our research results on the implementation of adaptive critic designs for self-learning con...
Derong Liu, Hossein Javaherian, Olesia Kovalenko, ...
JSC
2010
90views more  JSC 2010»
15 years 4 months ago
Modular Las Vegas algorithms for polynomial absolute factorization
Let f(X, Y ) ∈ Z[X, Y ] be an irreducible polynomial over Q. We give a Las Vegas absolute irreducibility test based on a property of the Newton polytope of f, or more precisely,...
Cristina Bertone, Guillaume Chèze, Andr&eac...
BMEI
2009
IEEE
15 years 4 months ago
The Finitely Geometric Symptom Analysis in the Glioma Survival Study
Novel approach for statistical inference in survival analysis based on factor or dichotomic variables is proposed. We are seeking for the most informative finitely linear combinat...
Nina Alexeyeva, Ivan Smirnov, Polina Gracheva, Bor...