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نمایش تعداد 1-6 از 6

On the use of marginal posteriors in marginal likelihood estimation via importance sampling

نوع: Journal Paper

ناشر: Elsevier Science

سال: 2014

Conjugate and conditional conjugate Bayesian analysis of discrete graphical models of marginal independence

نوع: Journal Paper

نویسنده : Ntzoufras, Ioannis - Tarantola, Claudia

سال: 2013

Empirical Bayes methods in classical and Bayesian inference

نوع: Journal Paper

ناشر: Springer

سال: 2014

Sparse Bayesian Extreme Learning Machine for Multi-classification

نوع: Journal Paper

نویسنده : Jiahua Luo; Chi-Man Vong; Pak-Kin Wong

ناشر: IEEE

سال: 2014

Ultra wide band Wilkinson equal power divider using rectangular rings of different impedance

نوع: Conference Paper

نویسنده : Kumar, Sandeep; Kumar, Mithilesh

ناشر: IEEE

سال: 2014

System Identification Via Sparse Multiple Kernel-Based Regularization Using Sequential Convex Optimization Techniques

نوع: Journal Paper

نویسنده : Tianshi Chen; Andersen, Mads Schaarup; Ljung, L.; Chiuso, A.; Pillonetto, G.

ناشر: IEEE

سال: 2014

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On the use of marginal posteriors in marginal likelihood estimation via importance sampling

Conjugate and conditional conjugate Bayesian analysis of discrete graphical models of marginal independence

Empirical Bayes methods in classical and Bayesian inference

Sparse Bayesian Extreme Learning Machine for Multi-classification

Ultra wide band Wilkinson equal power divider using rectangular rings of different impedance

System Identification Via Sparse Multiple Kernel-Based Regularization Using Sequential Convex Optimization Techniques

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On the use of marginal posteriors in marginal likelihood estimation via importance sampling

Conjugate and conditional conjugate Bayesian analysis of discrete graphical models of marginal independence

Empirical Bayes methods in classical and Bayesian inference

Sparse Bayesian Extreme Learning Machine for Multi-classification

Ultra wide band Wilkinson equal power divider using rectangular rings of different impedance

System Identification Via Sparse Multiple Kernel-Based Regularization Using Sequential Convex Optimization Techniques