Advances In Large Margin Classifiers PDF Download
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Author | : Alexander J. Smola |
Publisher | : MIT Press |
Total Pages | : 436 |
Release | : 2000 |
Genre | : Computers |
ISBN | : 9780262194488 |
Download Advances in Large Margin Classifiers Book in PDF, ePub and Kindle
The book provides an overview of recent developments in large margin classifiers, examines connections with other methods (e.g., Bayesian inference), and identifies strengths and weaknesses of the method, as well as directions for future research. The concept of large margins is a unifying principle for the analysis of many different approaches to the classification of data from examples, including boosting, mathematical programming, neural networks, and support vector machines. The fact that it is the margin, or confidence level, of a classification--that is, a scale parameter--rather than a raw training error that matters has become a key tool for dealing with classifiers. This book shows how this idea applies to both the theoretical analysis and the design of algorithms. The book provides an overview of recent developments in large margin classifiers, examines connections with other methods (e.g., Bayesian inference), and identifies strengths and weaknesses of the method, as well as directions for future research. Among the contributors are Manfred Opper, Vladimir Vapnik, and Grace Wahba.
Author | : Petroula Tsampouka |
Publisher | : |
Total Pages | : 156 |
Release | : 2007 |
Genre | : |
ISBN | : |
Download Perceptron-like Large Margin Classifiers Book in PDF, ePub and Kindle
Author | : Bernhard Schölkopf |
Publisher | : MIT Press |
Total Pages | : 1668 |
Release | : 2007 |
Genre | : Artificial intelligence |
ISBN | : 0262195682 |
Download Advances in Neural Information Processing Systems 19 Book in PDF, ePub and Kindle
The annual Neural Information Processing Systems (NIPS) conference is the flagship meeting on neural computation and machine learning. This volume contains the papers presented at the December 2006 meeting, held in Vancouver.
Author | : Maria Brigida Ferraro |
Publisher | : Springer |
Total Pages | : 538 |
Release | : 2016-08-30 |
Genre | : Technology & Engineering |
ISBN | : 3319429728 |
Download Soft Methods for Data Science Book in PDF, ePub and Kindle
This proceedings volume is a collection of peer reviewed papers presented at the 8th International Conference on Soft Methods in Probability and Statistics (SMPS 2016) held in Rome (Italy). The book is dedicated to Data science which aims at developing automated methods to analyze massive amounts of data and to extract knowledge from them. It shows how Data science employs various programming techniques and methods of data wrangling, data visualization, machine learning, probability and statistics. The soft methods proposed in this volume represent a collection of tools in these fields that can also be useful for data science.
Author | : Bernhard Scholkopf |
Publisher | : MIT Press |
Total Pages | : 645 |
Release | : 2018-06-05 |
Genre | : Computers |
ISBN | : 0262536579 |
Download Learning with Kernels Book in PDF, ePub and Kindle
A comprehensive introduction to Support Vector Machines and related kernel methods. In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically elegant learning machines that use a central concept of SVMs—-kernels—for a number of learning tasks. Kernel machines provide a modular framework that can be adapted to different tasks and domains by the choice of the kernel function and the base algorithm. They are replacing neural networks in a variety of fields, including engineering, information retrieval, and bioinformatics. Learning with Kernels provides an introduction to SVMs and related kernel methods. Although the book begins with the basics, it also includes the latest research. It provides all of the concepts necessary to enable a reader equipped with some basic mathematical knowledge to enter the world of machine learning using theoretically well-founded yet easy-to-use kernel algorithms and to understand and apply the powerful algorithms that have been developed over the last few years.
Author | : Takashi Onoda |
Publisher | : |
Total Pages | : 19 |
Release | : 2002 |
Genre | : |
ISBN | : |
Download Survey of Model Selection Criteria for Large Margin Classifiers Book in PDF, ePub and Kindle
Author | : Wen-jer Chang |
Publisher | : World Scientific |
Total Pages | : 958 |
Release | : 2017-07-19 |
Genre | : Computers |
ISBN | : 9813220309 |
Download Computer Science And Artificial Intelligence - Proceedings Of The International Conference On Computer Science And Artificial Intelligence (Csai2016) Book in PDF, ePub and Kindle
Held in Guilin of China from August 13-14, 2016, the 2016 International Conference on Computer Science and Artificial Intelligence (CSAI2016) provides an excellent international platform for all invited speakers, authors and participants to share their results and establish research collaborations for future research.The conference enjoys a wide spread participation. It would not only serve as an academic forum, but also a good opportunity to establish business cooperation.CSAI2016 proceedings collects the most up-to-date, comprehensive, and worldwide state-of-art knowledge on computer science and artificial intelligence. After strict peer-review, the proceedings put together 117 articles based on originality, significance and clarity for the purpose of the conference.
Author | : Haruna Chiroma |
Publisher | : Springer Nature |
Total Pages | : 316 |
Release | : 2021-04-01 |
Genre | : Technology & Engineering |
ISBN | : 3030662888 |
Download Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics Book in PDF, ePub and Kindle
This book addresses theories and empirical procedures for the application of machine learning and data mining to solve problems in cyber dynamics. It explains the fundamentals of cyber dynamics, and presents how these resilient algorithms, strategies, techniques can be used for the development of the cyberspace environment such as: cloud computing services; cyber security; data analytics; and, disruptive technologies like blockchain. The book presents new machine learning and data mining approaches in solving problems in cyber dynamics. Basic concepts, related work reviews, illustrations, empirical results and tables are integrated in each chapter to enable the reader to fully understand the concepts, methodology, and the results presented. The book contains empirical solutions of problems in cyber dynamics ready for industrial applications. The book will be an excellent starting point for postgraduate students and researchers because each chapter is design to have future research directions.
Author | : Sanjay Madria |
Publisher | : Springer Nature |
Total Pages | : 466 |
Release | : 2019-12-12 |
Genre | : Computers |
ISBN | : 3030371883 |
Download Big Data Analytics Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 7th International Conference on Big Data analytics, BDA 2019, held in Ahmedabad, India, in December 2019. The 25 papers presented in this volume were carefully reviewed and selected from 53 submissions. The papers are organized in topical sections named: big data analytics: vision and perspectives; search and information extraction; predictive analytics in medical and agricultural domains; graph analytics; pattern mining; and machine learning.
Author | : Neamat El Gayar |
Publisher | : Springer |
Total Pages | : 298 |
Release | : 2014-09-29 |
Genre | : Computers |
ISBN | : 3319116568 |
Download Artificial Neural Networks in Pattern Recognition Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 6th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2014, held in Montreal, QC, Canada, in October 2014. The 24 revised full papers presented were carefully reviewed and selected from 37 submissions for inclusion in this volume. They cover a large range of topics in the field of learning algorithms and architectures and discussing the latest research, results, and ideas in these areas.