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An Estimation Of Distribution Algorithm Based On Linkage Discovery And Factorization
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Book Synopsis An Estimation of Distribution Algorithm Based on Linkage Discovery and Factorization by : S. V. P. M. Sandeep Pulavarty
Download or read book An Estimation of Distribution Algorithm Based on Linkage Discovery and Factorization written by S. V. P. M. Sandeep Pulavarty and published by . This book was released on 2005 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Exploitation of Linkage Learning in Evolutionary Algorithms by : Ying-ping Chen
Download or read book Exploitation of Linkage Learning in Evolutionary Algorithms written by Ying-ping Chen and published by Springer Science & Business Media. This book was released on 2010-04-16 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: One major branch of enhancing the performance of evolutionary algorithms is the exploitation of linkage learning. This monograph aims to capture the recent progress of linkage learning, by compiling a series of focused technical chapters to keep abreast of the developments and trends in the area of linkage. In evolutionary algorithms, linkage models the relation between decision variables with the genetic linkage observed in biological systems, and linkage learning connects computational optimization methodologies and natural evolution mechanisms. Exploitation of linkage learning can enable us to design better evolutionary algorithms as well as to potentially gain insight into biological systems. Linkage learning has the potential to become one of the dominant aspects of evolutionary algorithms; research in this area can potentially yield promising results in addressing the scalability issues.
Book Synopsis Genetic and Evolutionary Computation Conference by : Hans-Georg Beyer
Download or read book Genetic and Evolutionary Computation Conference written by Hans-Georg Beyer and published by Association for Computing Machinery (ACM). This book was released on 2005 with total page 1148 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Genetic and Evolutionary Computation Conference by :
Download or read book Genetic and Evolutionary Computation Conference written by and published by . This book was released on 2005 with total page 1164 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Estimation of Distribution Algorithms by : Pedro Larrañaga
Download or read book Estimation of Distribution Algorithms written by Pedro Larrañaga and published by Springer. This book was released on 2012-10-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation is devoted to a new paradigm for evolutionary computation, named estimation of distribution algorithms (EDAs). This new class of algorithms generalizes genetic algorithms by replacing the crossover and mutation operators with learning and sampling from the probability distribution of the best individuals of the population at each iteration of the algorithm. Working in such a way, the relationships between the variables involved in the problem domain are explicitly and effectively captured and exploited. This text constitutes the first compilation and review of the techniques and applications of this new tool for performing evolutionary computation. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation is clearly divided into three parts. Part I is dedicated to the foundations of EDAs. In this part, after introducing some probabilistic graphical models - Bayesian and Gaussian networks - a review of existing EDA approaches is presented, as well as some new methods based on more flexible probabilistic graphical models. A mathematical modeling of discrete EDAs is also presented. Part II covers several applications of EDAs in some classical optimization problems: the travelling salesman problem, the job scheduling problem, and the knapsack problem. EDAs are also applied to the optimization of some well-known combinatorial and continuous functions. Part III presents the application of EDAs to solve some problems that arise in the machine learning field: feature subset selection, feature weighting in K-NN classifiers, rule induction, partial abductive inference in Bayesian networks, partitional clustering, and the search for optimal weights in artificial neural networks. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation is a useful and interesting tool for researchers working in the field of evolutionary computation and for engineers who face real-world optimization problems. This book may also be used by graduate students and researchers in computer science. `... I urge those who are interested in EDAs to study this well-crafted book today.' David E. Goldberg, University of Illinois Champaign-Urbana.
Book Synopsis Linkage in Evolutionary Computation by : Ying-ping Chen
Download or read book Linkage in Evolutionary Computation written by Ying-ping Chen and published by Springer Science & Business Media. This book was released on 2008-09-26 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, the issue of linkage in GEAs has garnered greater attention and recognition from researchers. Conventional approaches that rely much on ad hoc tweaking of parameters to control the search by balancing the level of exploitation and exploration are grossly inadequate. As shown in the work reported here, such parameters tweaking based approaches have their limits; they can be easily ”fooled” by cases of triviality or peculiarity of the class of problems that the algorithms are designed to handle. Furthermore, these approaches are usually blind to the interactions between the decision variables, thereby disrupting the partial solutions that are being built up along the way.
Book Synopsis Linkage Information Processing in Distribution Estimation Algorithms by : P. A. N. Bosman
Download or read book Linkage Information Processing in Distribution Estimation Algorithms written by P. A. N. Bosman and published by . This book was released on 1999 with total page 10 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Binding and Linkage by : Jeffries Wyman
Download or read book Binding and Linkage written by Jeffries Wyman and published by University Science Books. This book was released on 1990 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ligand-macromolecule interactions are of fundamental importance in the control of biological processes. This book applies the principles of linkage thermodynamics to polyfunctional macromolecular systems under equilibrium conditions, and describes the binding, linkage, and feedback phenomena that lead to control of complex metabolic processes. The first chapter sets out the different processes (conformational changes, changes in state of aggregation, phase changes) involving biological macromolecules which are affected by chemical variables (such as ligands) or physical variables (such as temperature and pressure). The general effects of ligands on micromolecular conformations and interactions are illustrated with specific examples from the respiratory proteins, electron-transport proteins, and nucleic acid binding proteins. Subsequent chapters develop these themes, and describe in detail how the mathematics of regulation and control can be applied to macromolecules in biological system.
Book Synopsis Genetic and Epigenetic Control on Immune Responses Regulating Molecules in Cancer Development, Progression, and Treatment by : Katherine Chiappinelli
Download or read book Genetic and Epigenetic Control on Immune Responses Regulating Molecules in Cancer Development, Progression, and Treatment written by Katherine Chiappinelli and published by Frontiers Media SA. This book was released on 2021-11-30 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Genetic Algorithms in Search, Optimization, and Machine Learning by : David Edward Goldberg
Download or read book Genetic Algorithms in Search, Optimization, and Machine Learning written by David Edward Goldberg and published by Addison-Wesley Professional. This book was released on 1989 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: A gentle introduction to genetic algorithms. Genetic algorithms revisited: mathematical foundations. Computer implementation of a genetic algorithm. Some applications of genetic algorithms. Advanced operators and techniques in genetic search. Introduction to genetics-based machine learning. Applications of genetics-based machine learning. A look back, a glance ahead. A review of combinatorics and elementary probability. Pascal with random number generation for fortran, basic, and cobol programmers. A simple genetic algorithm (SGA) in pascal. A simple classifier system(SCS) in pascal. Partition coefficient transforms for problem-coding analysis.
Book Synopsis Statistical Analysis of Network Data by : Eric D. Kolaczyk
Download or read book Statistical Analysis of Network Data written by Eric D. Kolaczyk and published by Springer Science & Business Media. This book was released on 2009-04-20 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years there has been an explosion of network data – that is, measu- ments that are either of or from a system conceptualized as a network – from se- ingly all corners of science. The combination of an increasingly pervasive interest in scienti c analysis at a systems level and the ever-growing capabilities for hi- throughput data collection in various elds has fueled this trend. Researchers from biology and bioinformatics to physics, from computer science to the information sciences, and from economics to sociology are more and more engaged in the c- lection and statistical analysis of data from a network-centric perspective. Accordingly, the contributions to statistical methods and modeling in this area have come from a similarly broad spectrum of areas, often independently of each other. Many books already have been written addressing network data and network problems in speci c individual disciplines. However, there is at present no single book that provides a modern treatment of a core body of knowledge for statistical analysis of network data that cuts across the various disciplines and is organized rather according to a statistical taxonomy of tasks and techniques. This book seeks to ll that gap and, as such, it aims to contribute to a growing trend in recent years to facilitate the exchange of knowledge across the pre-existing boundaries between those disciplines that play a role in what is coming to be called ‘network science.
Book Synopsis Foundations of Data Science by : Avrim Blum
Download or read book Foundations of Data Science written by Avrim Blum and published by Cambridge University Press. This book was released on 2020-01-23 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.
Book Synopsis Beyond the Worst-Case Analysis of Algorithms by : Tim Roughgarden
Download or read book Beyond the Worst-Case Analysis of Algorithms written by Tim Roughgarden and published by Cambridge University Press. This book was released on 2021-01-14 with total page 705 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces exciting new methods for assessing algorithms for problems ranging from clustering to linear programming to neural networks.
Book Synopsis Web Information Systems Engineering -- WISE 2014 by : Boualem Benatallah
Download or read book Web Information Systems Engineering -- WISE 2014 written by Boualem Benatallah and published by Springer. This book was released on 2014-09-11 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 15th International Conference on Web Information Systems Engineering, WISE 2014, held in Thessaloniki, Greece, in October 2014. The 52 full papers, 16 short and 14 poster papers, presented in the two-volume proceedings LNCS 8786 and 8787 were carefully reviewed and selected from 196 submissions. They are organized in topical sections named: Web mining, modeling and classification; Web querying and searching; Web recommendation and personalization; semantic Web; social online networks; software architectures amd platforms; Web technologies and frameworks; Web innovation and applications; and challenge.
Book Synopsis Computer Vision, Imaging and Computer Graphics Theory and Applications by : A. Augusto de Sousa
Download or read book Computer Vision, Imaging and Computer Graphics Theory and Applications written by A. Augusto de Sousa and published by Springer Nature. This book was released on 2023-10-17 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the referred proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2022, Virtual Event, February 6–8, 2022. The 15 full papers included in this book were carefully reviewed and selected from 392 submissions. The purpose of VISIGRAPP is to bring together researchers and practitioners interested in both theoretical advances and applications of computer vision, computer graphics and information visualization. VISIGRAPP is composed of four co-located conferences, each specialized in at least one of the aforementioned main knowledge areas, namely GRAPP, IVAPP, HUCAPP and VISAPP.
Book Synopsis Current Index to Statistics, Applications, Methods and Theory by :
Download or read book Current Index to Statistics, Applications, Methods and Theory written by and published by . This book was released on 1999 with total page 948 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Current Index to Statistics (CIS) is a bibliographic index of publications in statistics, probability, and related fields.
Book Synopsis Deep Learning for Biological Network Analysis by : Jianye Hao
Download or read book Deep Learning for Biological Network Analysis written by Jianye Hao and published by Frontiers Media SA. This book was released on 2022-02-07 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt:
