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Author : Hoffmann, Frank,Hüllermeier, Eyke,Mikut, Ralf
Publisher : KIT Scientific Publishing
Page : 322 pages
File Size : 48,6 Mb
Release : 2019-11-21
Category : Computers
ISBN : 9783731509790
Author : Hoffmann, Frank,Huellermeier, E.,Mikut, Ralf
Publisher : KIT Scientific Publishing
Page : 310 pages
File Size : 41,9 Mb
Release : 2017-11-09
Category : Electronic
ISBN : 9783731507260
Author : Hoffmann, Frank,Huellermeier, E.
Publisher : KIT Scientific Publishing
Page : 380 pages
File Size : 50,8 Mb
Release : 2014-11-20
Category : Electronic
ISBN : 9783731502753
Author : Hoffmann, Frank,Huellermeier, E.,Mikut, Ralf
Publisher : KIT Scientific Publishing
Page : 294 pages
File Size : 48,8 Mb
Release : 2016-11-14
Category : Electronic
ISBN : 9783731505884
Author : Schulte, Horst,Hoffmann, Frank,Mikut, Ralf
Publisher : KIT Scientific Publishing
Page : 318 pages
File Size : 55,7 Mb
Release : 2021-11-15
Category : Computers
ISBN : 9783731511311
Dieser Tagungsband enthält die Beiträge des 31. Workshop Computational Intelligence. Die Schwerpunkte sind Methoden, Anwendungen und Tools für Fuzzy-Systeme, Künstliche Neuronale Netze, Evolutionäre Algorithmen und Data-Mining-Verfahren sowie der Methodenvergleich anhand von industriellen und Benchmark-Problemen. - The proceedings of the 31st Workshop on Computational Intelligence focus on methods, applications, and tools for fuzzy systems, artificial neural networks, deep learning, system identification, and data mining techniques.
Author : Vassil Sgurev,Vladimir Jotsov,Janusz Kacprzyk
Publisher : Springer Nature
Page : 489 pages
File Size : 41,5 Mb
Release : 2021-11-03
Category : Technology & Engineering
ISBN : 9783030781248
This book represents the experience of successful researchers from four continents on a broad range of intelligent systems, and it hints how to avoid anticipated conflicts and problems during multidisciplinary innovative research from Industry 4.0 and/or Internet of Things through modern machine learning, and software agent applications to open data science big data/advance analytics/visual analytics/text mining/web mining/knowledge discovery/deep data mining issues. The considered intelligent part is essential in most smart/control systems, cyber security, bioinformatics, virtual reality, robotics, mathematical modelling projects, and its significance rapidly increases in other technologies. Theoretical foundations of fuzzy sets, mathematical and non-classical logic also are rapidly developing.
Author : Frederik Rehbach
Publisher : Springer Nature
Page : 123 pages
File Size : 43,8 Mb
Release : 2023-05-29
Category : Technology & Engineering
ISBN : 9783031306099
This book presents a solution to the challenging issue of optimizing expensive-to-evaluate industrial problems such as the hyperparameter tuning of machine learning models. The approach combines two well-established concepts, Surrogate-Based Optimization (SBO) and parallelization, to efficiently search for optimal parameter setups with as few function evaluations as possible. Through in-depth analysis, the need for parallel SBO solvers is emphasized, and it is demonstrated that they outperform model-free algorithms in scenarios with a low evaluation budget. The SBO approach helps practitioners save significant amounts of time and resources in hyperparameter tuning as well as other optimization projects. As a highlight, a novel framework for objectively comparing the efficiency of parallel SBO algorithms is introduced, enabling practitioners to evaluate and select the most effective approach for their specific use case. Based on practical examples, decision support is delivered, detailing which parts of industrial optimization projects can be parallelized and how to prioritize which parts to parallelize first. By following the framework, practitioners can make informed decisions about how to allocate resources and optimize their models efficiently.
Author : Frank Hutter,Lars Kotthoff,Joaquin Vanschoren
Publisher : Springer
Page : 223 pages
File Size : 49,9 Mb
Release : 2019-05-17
Category : Computers
ISBN : 9783030053185
This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work.
Author : Dimitris Kiritsis,Melinda Hodkiewicz,Oscar Lazaro,Jay Lee,Jun Ni
Publisher : Frontiers Media SA
Page : 124 pages
File Size : 46,9 Mb
Release : 2021-03-10
Category : Science
ISBN : 9782889665839
Author : Rudolf Kruse,Christian Borgelt,Christian Braune,Sanaz Mostaghim,Matthias Steinbrecher
Publisher : Springer
Page : 564 pages
File Size : 43,8 Mb
Release : 2016-09-16
Category : Computers
ISBN : 9781447172963
This textbook provides a clear and logical introduction to the field, covering the fundamental concepts, algorithms and practical implementations behind efforts to develop systems that exhibit intelligent behavior in complex environments. This enhanced second edition has been fully revised and expanded with new content on swarm intelligence, deep learning, fuzzy data analysis, and discrete decision graphs. Features: provides supplementary material at an associated website; contains numerous classroom-tested examples and definitions throughout the text; presents useful insights into all that is necessary for the successful application of computational intelligence methods; explains the theoretical background underpinning proposed solutions to common problems; discusses in great detail the classical areas of artificial neural networks, fuzzy systems and evolutionary algorithms; reviews the latest developments in the field, covering such topics as ant colony optimization and probabilistic graphical models.
Author : Christian Moewes,Andreas Nürnberger
Publisher : Springer
Page : 306 pages
File Size : 54,7 Mb
Release : 2012-08-23
Category : Technology & Engineering
ISBN : 9783642323782
Complex systems and their phenomena are ubiquitous as they can be found in biology, finance, the humanities, management sciences, medicine, physics and similar fields. For many problems in these fields, there are no conventional ways to mathematically or analytically solve them completely at low cost. On the other hand, nature already solved many optimization problems efficiently. Computational intelligence attempts to mimic nature-inspired problem-solving strategies and methods. These strategies can be used to study, model and analyze complex systems such that it becomes feasible to handle them. Key areas of computational intelligence are artificial neural networks, evolutionary computation and fuzzy systems. As only a few researchers in that field, Rudolf Kruse has contributed in many important ways to the understanding, modeling and application of computational intelligence methods. On occasion of his 60th birthday, a collection of original papers of leading researchers in the field of computational intelligence has been collected in this volume.
Author : Rudolf Kruse,Michael R. Berthold,Christian Moewes,María Ángeles Gil,Przemysław Grzegorzewski,Olgierd Hryniewicz
Publisher : Springer Science & Business Media
Page : 555 pages
File Size : 41,8 Mb
Release : 2012-09-13
Category : Technology & Engineering
ISBN : 9783642330421
In recent years there has been a growing interest to extend classical methods for data analysis. The aim is to allow a more flexible modeling of phenomena such as uncertainty, imprecision or ignorance. Such extensions of classical probability theory and statistics are useful in many real-life situations, since uncertainties in data are not only present in the form of randomness --- various types of incomplete or subjective information have to be handled. About twelve years ago the idea of strengthening the dialogue between the various research communities in the field of data analysis was born and resulted in the International Conference Series on Soft Methods in Probability and Statistics (SMPS). This book gathers contributions presented at the SMPS'2012 held in Konstanz, Germany. Its aim is to present recent results illustrating new trends in intelligent data analysis. It gives a comprehensive overview of current research into the fusion of soft computing methods with probability and statistics. Synergies of both fields might improve intelligent data analysis methods in terms of robustness to noise and applicability to larger datasets, while being able to efficiently obtain understandable solutions of real-world problems.
Author : Agoston E. Eiben,J.E. Smith
Publisher : Springer Science & Business Media
Page : 307 pages
File Size : 50,7 Mb
Release : 2013-03-14
Category : Computers
ISBN : 9783662050941
The first complete overview of evolutionary computing, the collective name for a range of problem-solving techniques based on principles of biological evolution, such as natural selection and genetic inheritance. The text is aimed directly at lecturers and graduate and undergraduate students. It is also meant for those who wish to apply evolutionary computing to a particular problem or within a given application area. The book contains quick-reference information on the current state-of-the-art in a wide range of related topics, so it is of interest not just to evolutionary computing specialists but to researchers working in other fields.
Author : Irek Ulidowski,Ivan Lanese,Ulrik Pagh Schultz,Carla Ferreira
Publisher : Springer Nature
Page : 250 pages
File Size : 45,7 Mb
Release : 2020-05-13
Category : Computers
ISBN : 9783030473617
This open access State-of-the-Art Survey presents the main recent scientific outcomes in the area of reversible computation, focusing on those that have emerged during COST Action IC1405 "Reversible Computation - Extending Horizons of Computing", a European research network that operated from May 2015 to April 2019. Reversible computation is a new paradigm that extends the traditional forwards-only mode of computation with the ability to execute in reverse, so that computation can run backwards as easily and naturally as forwards. It aims to deliver novel computing devices and software, and to enhance existing systems by equipping them with reversibility. There are many potential applications of reversible computation, including languages and software tools for reliable and recovery-oriented distributed systems and revolutionary reversible logic gates and circuits, but they can only be realized and have lasting effect if conceptual and firm theoretical foundations are established first.
Author : UNESCO
Publisher : UNESCO Publishing
Page : 318 pages
File Size : 40,6 Mb
Release : 2021-06-19
Category : Political Science
ISBN : 9789231004568