Pages that link to "Item:Q2758464"

The following pages link to NETLAB. Algorithms for pattern recognition (Q2758464):

Displaying 22 items.

• A probabilistic graphical model approach to stochastic multiscale partial differential equations (Q340925) (← links)
• Classifier variability: accounting for training and testing (Q411930) (← links)
• Statistical inference of regulatory networks for circadian regulation (Q461673) (← links)
• Algorithm runtime prediction: methods \& evaluation (Q490455) (← links)
• The well-designed logical robot: learning and experience from observations to the Situation Calculus (Q543604) (← links)
• Nonlinear regression model generation using hyperparameter optimization (Q611400) (← links)
• Estimating parameters in stochastic systems: A variational Bayesian approach (Q654174) (← links)
• Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting (Q707123) (← links)
• Nonlinear logistic discrimination via regularized radial basis functions for classifying high-dimensional data (Q730756) (← links)
• Type-2 fuzzy Gaussian mixture models (Q947991) (← links)
• A regularization framework for multiclass classification: a deterministic annealing approach (Q969088) (← links)
• Probabilistic message passing control for complex stochastic switching systems (Q2041394) (← links)
• Predictive uncertainty in environmental modelling (Q2373907) (← links)
• Significant vector learning to construct sparse kernel regression models (Q2383041) (← links)
• Optimal parameters for search using a barrier tree Markov model (Q2455598) (← links)
• Fuzzy relational neural network (Q2488624) (← links)
• Computational intelligence in earth sciences and environmental applications: issues and challenges. (Q2490825) (← links)
• A nonlinear dynamic inversion-based neurocontroller for unmanned combat aerial vehicles during aerial refuelling (Q2877522) (← links)
• Fuzzy Relational Neural Network for Data Analysis (Q3593187) (← links)
• (Q3816998) (← links)
• Bayesian modelling of nonlinear Poisson regression with artificial neural networks (Q5037054) (← links)
• Linear Regression Model-Guided Clustering for Training RBF Networks for Regression Problems (Q5306974) (← links)