Tous les ebooks de la collection "Adaptation, Learning, and Optimization" - Springer

12 Livre(s)
Télécharger le livre : Federated and Transfer Learning
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Federated and Transfer Learning
Roozbeh Razavi-Far , Matthew E. Taylor , Boyu Wang , Qiang Yang
This book provides a collection of recent research works on learning from decentralized data, transferring information from one domain to another, and addressing theoretical issues on improving the privacy and incentive factors of federated learning as well as its...

Editeur : Springer
Parution : 2022-09-30
Collection : Adaptation, Learning, and Optimization
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147,69 €
Télécharger le livre : Evolutionary and Memetic Computing for Project Portfolio Selection and Scheduling
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Evolutionary and Memetic Computing for Project Portfolio Selection and Scheduling
Collectif
This book consists of eight chapters, authored by distinguished researchers and practitioners, that highlight the state of the art and recent trends in addressing the project portfolio selection and scheduling problem (PPSSP) across a variety of domains, particularly...

Editeur : Springer
Parution : 2021-11-13
Collection : Adaptation, Learning, and Optimization
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147,69 €
Télécharger le livre : Optinformatics in Evolutionary Learning and Optimization
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Optinformatics in Evolutionary Learning and Optimization
Liang Feng , Yaqing Hou , Zexuan Zhu
This book provides readers the recent algorithmic advances towards realizing the notion of optinformatics in evolutionary learning and optimization. The book also provides readers a variety of practical applications, including inter-domain learning in vehicle route...

Editeur : Springer
Parution : 2021-03-29
Collection : Adaptation, Learning, and Optimization
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94,94 €
Télécharger le livre : Genetic Programming for Image Classification
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Genetic Programming for Image Classification
Ying Bi , Bing Xue , Mengjie Zhang
This book offers several new GP approaches to feature learning for image classification. Image classification is an important task in computer vision and machine learning with a wide range of applications. Feature learning is a fundamental step in image classification,...

Editeur : Springer
Parution : 2021-02-08
Collection : Adaptation, Learning, and Optimization
PDF, ePub

147,69 €
Télécharger le livre : Brain Storm Optimization Algorithms
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Brain Storm Optimization Algorithms
Shi Cheng , Yuhui Shi
Brain Storm Optimization (BSO) algorithms are a new kind of swarm intelligence method, which is based on the collective behavior of human beings, i.e., on the brainstorming process. Since the introduction of BSO algorithms in 2011, many studies on them have been...

Editeur : Springer
Parution : 2019-06-03
Collection : Adaptation, Learning, and Optimization
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94,94 €
Télécharger le livre : Memetic Computation
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Memetic Computation
Abhishek Gupta , Yew-Soon Ong
This book bridges the widening gap between two crucial constituents of computational intelligence: the rapidly advancing technologies of machine learning in the digital information age, and the relatively slow-moving field of general-purpose search and optimization...

Editeur : Springer
Parution : 2018-12-18
Collection : Adaptation, Learning, and Optimization
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147,69 €
Télécharger le livre : Computational Intelligence in Sports
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Computational Intelligence in Sports
Iztok Fister , Dušan Fister , Iztok Fister Jr.
This book presents recent research on computational intelligence (CI) algorithms in the field of sport. In the modern age, information technologies have greatly reduced the need for human effort in the carrying out of many daily tasks. These technologies have radically...

Editeur : Springer
Parution : 2018-12-17
Collection : Adaptation, Learning, and Optimization
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105,49 €
Télécharger le livre : Recent Advances in Evolutionary Multi-objective Optimization
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Recent Advances in Evolutionary Multi-objective Optimization
Slim Bechikh , Rituparna Datta , Abhishek Gupta
This book covers the most recent advances in the field of evolutionary multiobjective optimization. With the aim of drawing the attention of up-and coming scientists towards exciting prospects at the forefront of computational intelligence, the authors have made an...

Editeur : Springer
Parution : 2016-08-09
Collection : Adaptation, Learning, and Optimization
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94,94 €
Télécharger le livre : Computational Intelligence for Big Data Analysis
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Computational Intelligence for Big Data Analysis
D.P. Acharjya , Satchidananda Dehuri , Sugata Sanyal
The work presented in this book is a combination of theoretical advancements of big data analysis, cloud computing, and their potential applications in scientific computing.The theoretical advancements are supported with illustrative examples and its applications in...

Editeur : Springer
Parution : 2015-04-21
Collection : Adaptation, Learning, and Optimization
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94,94 €
Télécharger le livre : Self-Sufficiency of an Autonomous Reconfigurable Modular Robotic Organism
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Self-Sufficiency of an Autonomous Reconfigurable Modular Robotic Organism
Raja Humza Qadir
This book describes how the principle of self-sufficiency can be applied to a reconfigurable modular robotic organism. It shows the design considerations for a novel REPLICATOR robotic platform, both hardware and software, featuring the behavioral characteristics of...

Editeur : Springer
Parution : 2014-09-25
Collection : Adaptation, Learning, and Optimization
ePub

94,94 €
Télécharger le livre : Extreme Learning Machines 2013: Algorithms and Applications
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Extreme Learning Machines 2013: Algorithms and Applications
Kezhi Mao , Manuel Grana Romay , Fuchen Sun , Kar-Ann Toh
In recent years, ELM has emerged as a revolutionary technique of computational intelligence, and has attracted considerable attentions. An extreme learning machine (ELM) is a single layer feed-forward neural network alike learning system, whose connections from the...

Editeur : Springer
Parution : 2014-07-08
Collection : Adaptation, Learning, and Optimization
ePub

94,94 €
Télécharger le livre : Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition
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Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition
Moncef Gabbouj , Turker Ince , Serkan Kiranyaz
For many engineering problems we require optimization processes with dynamic adaptation as we aim to establish the dimension of the search space where the optimum solution resides and develop robust techniques to avoid the local optima usually associated with multimodal...

Editeur : Springer
Parution : 2013-07-16
Collection : Adaptation, Learning, and Optimization
ePub

94,94 €