Welcome to our book review site www.go-pdf.online!

You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.

Sign up

Bioinspired Computation in Artificial Systems
  • Language: en
  • Pages: 485

Bioinspired Computation in Artificial Systems

  • Type: Book
  • -
  • Published: 2015-05-22
  • -
  • Publisher: Springer

The two volumes LNCS 9107 and 9108 constitute the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2015, held in Elche, Spain, in June 2015. The total of 103 contributions was carefully reviewed and selected from 190 submissions during two rounds of reviewing and improvement. The papers are organized in two volumes, one on artificial computation and biology and medicine, addressing topics such as computational neuroscience, neural coding and neuro-informatics, as well as computational foundations and approaches to the study of cognition. The second volume deals with bioinspired computation in artificial systems; topics alluded are bio-inspired circuits and mechanisms, bioinspired programming strategies, and bioinspired engineering AI&KE.

Multi-Objective Machine Learning
  • Language: en
  • Pages: 657

Multi-Objective Machine Learning

Recently, increasing interest has been shown in applying the concept of Pareto-optimality to machine learning, particularly inspired by the successful developments in evolutionary multi-objective optimization. It has been shown that the multi-objective approach to machine learning is particularly successful to improve the performance of the traditional single objective machine learning methods, to generate highly diverse multiple Pareto-optimal models for constructing ensembles models and, and to achieve a desired trade-off between accuracy and interpretability of neural networks or fuzzy systems. This monograph presents a selected collection of research work on multi-objective approach to machine learning, including multi-objective feature selection, multi-objective model selection in training multi-layer perceptrons, radial-basis-function networks, support vector machines, decision trees, and intelligent systems.

Parallel Problem Solving from Nature - PPSN IX
  • Language: en
  • Pages: 1079

Parallel Problem Solving from Nature - PPSN IX

This book constitutes the refereed proceedings of the 9th International Conference on Parallel Problem Solving from Nature, PPSN 2006. The book presents 106 revised full papers covering a wide range of topics, from evolutionary computation to swarm intelligence and bio-inspired computing to real-world applications. These are organized in topical sections on theory, new algorithms, applications, multi-objective optimization, evolutionary learning, as well as representations, operators, and empirical evaluation.

Handbook of Evolutionary Machine Learning
  • Language: en
  • Pages: 764

Handbook of Evolutionary Machine Learning

This book, written by leading international researchers of evolutionary approaches to machine learning, explores various ways evolution can address machine learning problems and improve current methods of machine learning. Topics in this book are organized into five parts. The first part introduces some fundamental concepts and overviews of evolutionary approaches to the three different classes of learning employed in machine learning. The second addresses the use of evolutionary computation as a machine learning technique describing methodologic improvements for evolutionary clustering, classification, regression, and ensemble learning. The third part explores the connection between evoluti...

Evolutionary Multi-Criterion Optimization
  • Language: en
  • Pages: 927

Evolutionary Multi-Criterion Optimization

This book constitutes the refereed proceedings of the Third International Conference on Evolutionary Multi-Criterion Optimization, EMO 2005, held in Guanajuato, Mexico, in March 2005. The 59 revised full papers presented together with 2 invited papers and the summary of a tutorial were carefully reviewed and selected from the 115 papers submitted. The papers are organized in topical sections on algorithm improvements, incorporation of preferences, performance analysis and comparison, uncertainty and noise, alternative methods, and applications in a broad variety of fields.

Parallel Problem Solving from Nature - PPSN VIII
  • Language: en
  • Pages: 1204

Parallel Problem Solving from Nature - PPSN VIII

  • Type: Book
  • -
  • Published: 2004-12-16
  • -
  • Publisher: Springer

We are very pleased to present this LNCS volume, the proceedings of the 8th InternationalConferenceonParallelProblemSolvingfromNature(PPSNVIII). PPSN is one of the most respected and highly regarded conference series in evolutionary computation and natural computing/computation. This biennial eventwas?rstheldinDortmundin1990,andtheninBrussels(1992),Jerusalem (1994), Berlin (1996), Amsterdam (1998), Paris (2000), and Granada (2002). PPSN VIII continues to be the conference of choice by researchers all over the world who value its high quality. We received a record 358 paper submissions this year. After an extensive peer review process involving more than 1100 reviews, the programme c- mittee ...

Genetic and Evolutionary Computation Conference
  • Language: en
  • Pages: 1166

Genetic and Evolutionary Computation Conference

  • Type: Book
  • -
  • Published: 2005
  • -
  • Publisher: Unknown

None

Genetic and Evolutionary Computation Conference
  • Language: en
  • Pages: 1148
Spotlight
  • Language: en
  • Pages: 1602

Spotlight

  • Type: Book
  • -
  • Published: 1971
  • -
  • Publisher: Unknown

None

GECCO 2005
  • Language: en
  • Pages: 1170

GECCO 2005

  • Type: Book
  • -
  • Published: 2005
  • -
  • Publisher: Unknown

None