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Book
Advances in digital science : ICADS 2021
Author:
ISBN: 3030717828 303071781X Year: 2021 Publisher: Cham, Switzerland : Springer,


Book
Neuromorphic computing principles and organization
Authors: ---
ISBN: 3030925242 3030925250 Year: 2022 Publisher: Cham, Switzerland : Springer,


Book
Effective Statistical Learning Methods for Actuaries I : GLMs and Extensions
Authors: --- ---
ISBN: 3030258203 303025819X Year: 2019 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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Abstract

This book summarizes the state of the art in generalized linear models (GLMs) and their various extensions: GAMs, mixed models and credibility, and some nonlinear variants (GNMs). In order to deal with tail events, analytical tools from Extreme Value Theory are presented. Going beyond mean modeling, it considers volatility modeling (double GLMs) and the general modeling of location, scale and shape parameters (GAMLSS). Actuaries need these advanced analytical tools to turn the massive data sets now at their disposal into opportunities. The exposition alternates between methodological aspects and case studies, providing numerical illustrations using the R statistical software. The technical prerequisites are kept at a reasonable level in order to reach a broad readership. This is the first of three volumes entitled Effective Statistical Learning Methods for Actuaries. Written by actuaries for actuaries, this series offers a comprehensive overview of insurance data analytics with applications to P&C, life and health insurance. Although closely related to the other two volumes, this volume can be read independently.


Book
Artificial Neural Networks
Author:
ISBN: 1071608266 1071608258 Year: 2021 Publisher: New York, NY : Springer US : Imprint: Humana,

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Abstract

This volume presents examples of how Artificial Neural Networks (ANNs) are applied in biological sciences and related areas. Chapters cover a wide variety of topics, including the analysis of intracellular sorting information, prediction of the behavior of bacterial communities, biometric authentication, studies of Tuberculosis, gene signatures in breast cancer classification, the use of mass spectrometry in metabolite identification, visual navigation, and computer diagnosis. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, application details for both the expert and non-expert reader, and tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Artificial Neural Networks: Third Edition should be of value to all scientists interested in the hands-on application of ANNs in the biosciences.


Book
Stability analysis of neural networks
Authors: --- ---
ISBN: 9811665338 9811665346 Year: 2021 Publisher: Singapore : Springer,


Book
Graph neural networks : foundations, frontiers, and applications
Author:
ISBN: 9811660530 9811660549 Year: 2022 Publisher: Singapore : Springer,


Book
Geometry of deep learning : a signal processing perspective
Author:
ISBN: 9789811660450 981166045X 9811660468 Year: 2022 Publisher: Gateway East, Singapore : Springer,


Book
Intelligent algorithms for packing and cutting problem
Author:
ISBN: 9811959153 9811959161 Year: 2022 Publisher: Gateway East, Singapore : Springer,


Book
Feature Engineering and Computational Intelligence in ECG Monitoring
Authors: ---
ISBN: 9811538247 9811538239 Year: 2020 Publisher: Singapore : Springer Singapore : Imprint: Springer,

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Abstract

This book discusses feature engineering and computational intelligence solutions for ECG monitoring, with a particular focus on how these methods can be efficiently used to address the emerging challenges of dynamic, continuous & long-term individual ECG monitoring and real-time feedback. By doing so, it provides a “snapshot” of the current research at the interface between physiological signal analysis and machine learning. It also helps clarify a number of dilemmas and encourages further investigations in this field, to explore rational applications of feature engineering and computational intelligence in ECG monitoring. The book is intended for researchers and graduate students in the field of biomedical engineering, ECG signal processing, and intelligent healthcare.

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