Téléchargez le livre : Data-Variant Kernel Analysis
eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
133,93 €
Téléchargement immédiat
Dès validation de votre commande
Ajouter à ma liste d'envies
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

badge apple Application Louise Reader
badge Android Application Louise Reader
Description

Describes and discusses the variants of kernel analysis methods for data types that have been intensely studied in recent years

This book covers kernel analysis topics ranging from the fundamental theory of kernel functions to its applications. The book surveys the current status, popular trends, and developments in kernel analysis studies. The author discusses multiple kernel learning algorithms and how to choose the appropriate kernels during the learning phase. Data-Variant Kernel Analysis is a new pattern analysis framework for different types of data configurations. The chapters include data formations of offline, distributed, online, cloud, and longitudinal data, used for kernel analysis to classify and predict future state. 

Data-Variant Kernel Analysis: Surveys the kernel analysis in the traditionally developed machine learning techniques, such as Neural Networks (NN), Support Vector Machines (SVM), and Principal Component Analysis (PCA) Develops group kernel analysis with the distributed databases to compare speed and memory usages Explores the possibility of real-time processes by synthesizing offline and online databases Applies the assembled databases to compare cloud computing environments Examines the prediction of longitudinal data with time-sequential configurations
Data-Variant Kernel Analysis is a detailed reference for graduate students as well as electrical and computer engineers interested in pattern analysis and its application in colon cancer detection.
Pages
256 pages
Collection
Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
Parution
2015-04-27
Marque
Wiley
EAN papier
9781119019329
EAN PDF
9781119019336
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
256
Taille du fichier
7619 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
133,93 €
EAN EPUB
9781119019343
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
256
Taille du fichier
14193 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
133,93 €

Suggestions personnalisées