Neural Kernel

Composing Fisher Kernels from Deep Neural Models: A Practitioner's Approach (Repost)  eBooks & eLearning

Posted by AvaxGenius at Feb. 26, 2020
Composing Fisher Kernels from Deep Neural Models: A Practitioner's Approach (Repost)

Composing Fisher Kernels from Deep Neural Models: A Practitioner's Approach by Tayyaba Azim
English | PDF,EPUB | 2018 | 69 Pages | ISBN : 331998523X | 4.22 MB

This book shows machine learning enthusiasts and practitioners how to get the best of both worlds by deriving Fisher kernels from deep learning models. In addition, the book shares insight on how to store and retrieve large-dimensional Fisher vectors using feature selection and compression techniques. Feature selection and feature compression are two of the most popular off-the-shelf methods for reducing data’s high-dimensional memory footprint and thus making it suitable for large-scale visual retrieval and classification.

Kernel Methods in Bioengineering, Signal And Image Processing  eBooks & eLearning

Posted by step778 at Sept. 29, 2020
Kernel Methods in Bioengineering, Signal And Image Processing

Manuel Martinez-Ramon, Jose Luis Rojo-alvarez, "Kernel Methods in Bioengineering, Signal And Image Processing"
English | 2007 | pages: 431 | ISBN: 1599040433 | PDF | 11,8 mb

Kernel Mode Decomposition and the Programming of Kernels  eBooks & eLearning

Posted by AvaxGenius at Sept. 12, 2022
Kernel Mode Decomposition and the Programming of Kernels

Kernel Mode Decomposition and the Programming of Kernels by Houman Owhadi, Clint Scovel, Gene Ryan Yoo
English | PDF,EPUB | 2021 | 125 Pages | ISBN : 3030821706 | 19.8 MB

This monograph demonstrates a new approach to the classical mode decomposition problem through nonlinear regression models, which achieve near-machine precision in the recovery of the modes. The presentation includes a review of generalized additive models, additive kernels/Gaussian processes, generalized Tikhonov regularization, empirical mode decomposition, and Synchrosqueezing, which are all related to and generalizable under the proposed framework.

Artificial Neural Networks: Methods and Applications in Bio-/Neuroinformatics  eBooks & eLearning

Posted by DZ123 at Sept. 30, 2019
Artificial Neural Networks: Methods and Applications in Bio-/Neuroinformatics

Petia Koprinkova-Hristova, Valeri Mladenov, Nikola K. Kasabov, "Artificial Neural Networks: Methods and Applications in Bio-/Neuroinformatics"
English | 2014 | ISBN: 3319099027 | PDF | pages: 487 | 19.4 mb
An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces

An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces
English | 2022 | ISBN: 3030983153 | 160 Pages | PDF EPUB | 12 MB

Neural Networks and Statistical Learning  eBooks & eLearning

Posted by AvaxGenius at Sept. 12, 2020
Neural Networks and Statistical Learning

Neural Networks and Statistical Learning by Ke-Lin Du
English | EPUB | 2014 | 834 Pages | ISBN : 144715570X | 9.37 MB

Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered with examples and exercises in every chapter to develop a practical working understanding of the content.

Artificial Neural Networks and Machine Learning – ICANN 2018  eBooks & eLearning

Posted by AvaxGenius at Sept. 27, 2018
Artificial Neural Networks and Machine Learning – ICANN 2018

Artificial Neural Networks and Machine Learning – ICANN 2018: 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part I by Věra Kůrková
English | PDF | 2018 | 854 Pages | ISBN : 3030014177 | 72.07 MB

This three-volume set LNCS 11139-11141 constitutes the refereed proceedings of the 27th International Conference on Artificial Neural Networks, ICANN 2018, held in Rhodes, Greece, in October 2018.

Artificial Neural Networks and Machine Learning – ICANN 2018  eBooks & eLearning

Posted by AvaxGenius at Sept. 26, 2018
Artificial Neural Networks and Machine Learning – ICANN 2018

Artificial Neural Networks and Machine Learning – ICANN 2018: 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part II by Věra Kůrková
English | PDF | 2018 | 637 Pages | ISBN : 3030014207 | 52.72 MB

This three-volume set LNCS 11139-11141 constitutes the refereed proceedings of the 27th International Conference on Artificial Neural Networks, ICANN 2018, held in Rhodes, Greece, in October 2018.

Neural Networks and Statistical Learning (Repost)  eBooks & eLearning

Posted by step778 at Dec. 21, 2018
Neural Networks and Statistical Learning (Repost)

Ke-Lin Du, M. N. S. Swamy, "Neural Networks and Statistical Learning"
2013 | pages: 834 | ISBN: 144715570X | PDF | 13,1 mb

Neural Networks and Statistical Learning  eBooks & eLearning

Posted by nebulae at Jan. 18, 2014
Neural Networks and Statistical Learning

Ke-Lin Du, M. N. S. Swamy, "Neural Networks and Statistical Learning"
English | ISBN: 144715570X | 2014 | 850 pages | PDF | 13 MB