Johan A.K. Suykens – författare
Visar alla böcker från författaren Johan A.K. Suykens. Handla med fri frakt och snabb leverans.
10 produkter
Regularization, Optimization, Kernels, and Support Vector Machines
Av Johan A.K. Suykens, Marco Signoretto m. fl.
Häftad, 2020
739 kr
Lägg i varukorg
Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and …
Nonlinear Modeling
Advanced Black-Box Techniques
Av Johan A.K. Suykens, Joos P.L. Vandewalle
Inbunden, 1998
1692 kr
Lägg i varukorg
Nonlinear Modeling: Advanced Black-Box Techniques discusses methods on Neural nets and related model structures for nonlinear system identification; Enhanced multi-stream Kalman filter training for recurrent networks; The support vector method of function estimation; Parametric density estimation …
Artificial Neural Networks for Modelling and Control of Non-Linear Systems
Av Johan A.K. Suykens, Joos P.L. Vandewalle m. fl.
Inbunden, 1995
1692 kr
Lägg i varukorg
Artificial neural networks possess several properties that make them particularly attractive for applications to modelling and control of complex non-linear systems. Among these properties are their universal approximation ability, their parallel network structure and the availability of on- and …
Regularization, Optimization, Kernels, and Support Vector Machines
Av Andreas Argyriou, Marco Signoretto m. fl.
E-bok, 2014
866 kr
Lägg i varukorg
Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and …
Artificial Neural Networks for Modelling and Control of Non-Linear Systems
Av Johan A.K. Suykens, Joos P.L. Vandewalle m. fl.
Häftad, 2010
1643 kr
Lägg i varukorg
Artificial neural networks possess several properties that make them particularly attractive for applications to modelling and control of complex non-linear systems. Among these properties are their universal approximation ability, their parallel network structure and the availability of on- and …
Nonlinear Modeling
Advanced Black-Box Techniques
Av Johan A.K. Suykens, Joos P.L. Vandewalle
Häftad, 2012
1643 kr
Lägg i varukorg
Nonlinear Modeling: Advanced Black-Box Techniques discusses methods on Neural nets and related model structures for nonlinear system identification; Enhanced multi-stream Kalman filter training for recurrent networks; The support vector method of function estimation; Parametric density estimation …
Nonlinear Modeling
Advanced Black-Box Techniques
Av Joos P.L. Vandewalle, Johan A.K. Suykens
E-bok, 2012
2111 kr
Lägg i varukorg
Nonlinear Modeling: Advanced Black-Box Techniques discusses methods on Neural nets and related model structures for nonlinear system identification; Enhanced multi-stream Kalman filter training for recurrent networks; The support vector method of function estimation; Parametric density estimation …
Artificial Neural Networks for Modelling and Control of Non-Linear Systems
Av B.L. de Moor, Joos P.L. Vandewalle m. fl.
E-bok, 2012
2065 kr
Lägg i varukorg
Artificial neural networks possess several properties that make them particularly attractive for applications to modelling and control of complex non-linear systems. Among these properties are their universal approximation ability, their parallel network structure and the availability of on- and …
Regularization, Optimization, Kernels, and Support Vector Machines
Av Johan A.K. Suykens, Marco Signoretto m. fl.
Inbunden, 2014
1837 kr
Lägg i varukorg
Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and …
Regularization, Optimization, Kernels, and Support Vector Machines
Av Andreas Argyriou, Marco Signoretto m. fl.
E-bok, 2014
847 kr
Lägg i varukorg
Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and …
