A primal sub-gradient method for structured classification with the averaged sum loss
Dejan Mančev, Branimir Todorović (2014)
International Journal of Applied Mathematics and Computer Science
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Displaying similar documents to “A Bayes estimator of parameters of nonlinear dynamic systems.”
A primal sub-gradient method for structured classification with the averaged sum loss
A primal sub-gradient method for structured classification with the averaged sum loss
Dejan Mančev, Branimir Todorović (2014)
International Journal of Applied Mathematics and Computer Science
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Algorithm. 44. MIMUN. Optimization of one-dimensional multimodal functions in the presence of noise
Antanas Žilinskas (1980)
Aplikace matematiky
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Identification of a Duffing oscillator under different types of excitation.
Gandino, E., Marchesiello, S. (2010)
Mathematical Problems in Engineering
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Em Algorithm for MLE of a Probit Model for Multiple Ordinal Outcomes
Grigorova, Denitsa, Encheva, Elitsa, Gueorguieva, Ralitza (2013)
Serdica Journal of Computing
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The correlated probit model is frequently used for multiple ordered data since it allows to incorporate seamlessly different correlation structures. The estimation of the probit model parameters based on direct maximization of the limited information maximum likelihood is a numerically intensive procedure. We propose an extension of the EM algorithm for obtaining maximum likelihood estimates for a correlated probit model for multiple ordinal outcomes. The algorithm is implemented in...
A simple recursive estimator with on-line orthogonalization of the input sequence
Jaroslav Markl (1983)
Kybernetika
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Regularized nonnegative matrix factorization: geometrical interpretation and application to spectral unmixing
Rafał Zdunek (2014)
International Journal of Applied Mathematics and Computer Science
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Regularized nonnegative matrix factorization: geometrical interpretation and application to spectral unmixing
Rafał Zdunek (2014)
International Journal of Applied Mathematics and Computer Science
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Highly efficient sigma point filter for spacecraft attitude and rate estimation.
Fan, Chunshi, You, Zheng (2009)
Mathematical Problems in Engineering
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Accelerated Runge-Kutta methods.
Udwadia, Firdaus E., Farahani, Artin (2008)
Discrete Dynamics in Nature and Society
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Graphics processing units in acceleration of bandwidth selection for kernel density estimation
Witold Andrzejewski, Artur Gramacki, Jarosław Gramacki (2013)
International Journal of Applied Mathematics and Computer Science
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The Probability Density Function (PDF) is a key concept in statistics. Constructing the most adequate PDF from the observed data is still an important and interesting scientific problem, especially for large datasets. PDFs are often estimated using nonparametric data-driven methods. One of the most popular nonparametric method is the Kernel Density Estimator (KDE). However, a very serious drawback of using KDEs is the large number of calculations required to compute them, especially...