Computational Methods Of Feature Selection PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Computational Methods Of Feature Selection PDF full book. Access full book title Computational Methods Of Feature Selection.
| Author | : Huan Liu |
| Publisher | : CRC Press |
| Total Pages | : 437 |
| Release | : 2007-10-29 |
| Genre | : Business & Economics |
| ISBN | : 1584888792 |
Download Computational Methods of Feature Selection Book in PDF, ePub and Kindle
Due to increasing demands for dimensionality reduction, research on feature selection has deeply and widely expanded into many fields, including computational statistics, pattern recognition, machine learning, data mining, and knowledge discovery. Highlighting current research issues, Computational Methods of Feature Selection introduces the
| Author | : Richard Jensen |
| Publisher | : John Wiley & Sons |
| Total Pages | : 357 |
| Release | : 2008-10-03 |
| Genre | : Computers |
| ISBN | : 0470377917 |
Download Computational Intelligence and Feature Selection Book in PDF, ePub and Kindle
The rough and fuzzy set approaches presented here open up many new frontiers for continued research and development Computational Intelligence and Feature Selection provides readers with the background and fundamental ideas behind Feature Selection (FS), with an emphasis on techniques based on rough and fuzzy sets. For readers who are less familiar with the subject, the book begins with an introduction to fuzzy set theory and fuzzy-rough set theory. Building on this foundation, the book provides: A critical review of FS methods, with particular emphasis on their current limitations Program files implementing major algorithms, together with the necessary instructions and datasets, available on a related Web site Coverage of the background and fundamental ideas behind FS A systematic presentation of the leading methods reviewed in a consistent algorithmic framework Real-world applications with worked examples that illustrate the power and efficacy of the FS approaches covered An investigation of the associated areas of FS, including rule induction and clustering methods using hybridizations of fuzzy and rough set theories Computational Intelligence and Feature Selection is an ideal resource for advanced undergraduates, postgraduates, researchers, and professional engineers. However, its straightforward presentation of the underlying concepts makes the book meaningful to specialists and nonspecialists alike.
| Author | : Claude Sammut |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 1061 |
| Release | : 2011-03-28 |
| Genre | : Computers |
| ISBN | : 0387307680 |
Download Encyclopedia of Machine Learning Book in PDF, ePub and Kindle
This comprehensive encyclopedia, in A-Z format, provides easy access to relevant information for those seeking entry into any aspect within the broad field of Machine Learning. Most of the entries in this preeminent work include useful literature references.
| Author | : Zheng Alan Zhao |
| Publisher | : CRC Press |
| Total Pages | : 224 |
| Release | : 2011-12-14 |
| Genre | : Business & Economics |
| ISBN | : 1439862109 |
Download Spectral Feature Selection for Data Mining (Open Access) Book in PDF, ePub and Kindle
Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing feature selection algorithms and developing new algorithms for emerging problems in real-world applications. This technique represents a unified framework for supervised, unsupervised, and semisupervise
| Author | : Max Kuhn |
| Publisher | : CRC Press |
| Total Pages | : 266 |
| Release | : 2019-07-25 |
| Genre | : Business & Economics |
| ISBN | : 1351609467 |
Download Feature Engineering and Selection Book in PDF, ePub and Kindle
The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for nding the best subset of predictors for improving model performance. A variety of example data sets are used to illustrate the techniques along with R programs for reproducing the results.
| Author | : Radek Silhavy |
| Publisher | : Springer Nature |
| Total Pages | : 655 |
| Release | : 2020-08-08 |
| Genre | : Technology & Engineering |
| ISBN | : 3030519716 |
Download Artificial Intelligence and Bioinspired Computational Methods Book in PDF, ePub and Kindle
This book gathers the refereed proceedings of the Artificial Intelligence and Bioinspired Computational Methods Section of the 9th Computer Science On-line Conference 2020 (CSOC 2020), held on-line in April 2020. Artificial intelligence and bioinspired computational methods now represent crucial areas of computer science research. The topics presented here reflect the current discussion on cutting-edge hybrid and bioinspired algorithms and their applications.
| Author | : Christina Kratsch |
| Publisher | : |
| Total Pages | : |
| Release | : 2014 |
| Genre | : |
| ISBN | : |
Download Computational Methods to Study Phenotype Evolution and Feature Selection Techniques for Biological Data Under Evolutionary Constraints Book in PDF, ePub and Kindle
| Author | : Management Association, Information Resources |
| Publisher | : IGI Global |
| Total Pages | : 1534 |
| Release | : 2020-12-05 |
| Genre | : Computers |
| ISBN | : 1799880990 |
Download Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms Book in PDF, ePub and Kindle
Genetic programming is a new and evolutionary method that has become a novel area of research within artificial intelligence known for automatically generating high-quality solutions to optimization and search problems. This automatic aspect of the algorithms and the mimicking of natural selection and genetics makes genetic programming an intelligent component of problem solving that is highly regarded for its efficiency and vast capabilities. With the ability to be modified and adapted, easily distributed, and effective in large-scale/wide variety of problems, genetic algorithms and programming can be utilized in many diverse industries. This multi-industry uses vary from finance and economics to business and management all the way to healthcare and the sciences. The use of genetic programming and algorithms goes beyond human capabilities, enhancing the business and processes of various essential industries and improving functionality along the way. The Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms covers the implementation, tools and technologies, and impact on society that genetic programming and algorithms have had throughout multiple industries. By taking a multi-industry approach, this book covers the fundamentals of genetic programming through its technological benefits and challenges along with the latest advancements and future outlooks for computer science. This book is ideal for academicians, biological engineers, computer programmers, scientists, researchers, and upper-level students seeking the latest research on genetic programming.
| Author | : Thanh Binh Nguyen |
| Publisher | : Springer |
| Total Pages | : 290 |
| Release | : 2016-05-01 |
| Genre | : Technology & Engineering |
| ISBN | : 3319388843 |
Download Advanced Computational Methods for Knowledge Engineering Book in PDF, ePub and Kindle
This proceedings consists of 20 papers which have been selected and invited from the submissions to the 4th International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2016) held on 2-3 May, 2016 in Laxenburg, Austria. The conference is organized into 5 sessions: Advanced Optimization Methods and Their Applications, Models for ICT applications, Topics on discrete mathematics, Data Analytic Methods and Applications and Feature Extractio, respectively. All chapters in the book discuss theoretical and practical issues connected with computational methods and optimization methods for knowledge engineering. The editors hope that this volume can be useful for graduate and Ph.D. students and researchers in Applied Sciences, Computer Science and Applied Mathematics.
| Author | : Isabelle Guyon |
| Publisher | : Springer |
| Total Pages | : 765 |
| Release | : 2008-11-16 |
| Genre | : Computers |
| ISBN | : 3540354883 |
Download Feature Extraction Book in PDF, ePub and Kindle
This book is both a reference for engineers and scientists and a teaching resource, featuring tutorial chapters and research papers on feature extraction. Until now there has been insufficient consideration of feature selection algorithms, no unified presentation of leading methods, and no systematic comparisons.
