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Author : I. Ivanova
Publisher :
ISBN 13 :
Total Pages : 12 pages
Book Rating : 4.:/5 (258 download)
Download or read book Tree-based neural net (TBNN) for learning 'difficult' concepts written by I. Ivanova and published by . This book was released on 1994 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Irena Ivanova
Publisher :
ISBN 13 :
Total Pages : 12 pages
Book Rating : 4.:/5 (312 download)
Download or read book Tree-based Neural Net (TBNN) for Learning "difficult" Concepts written by Irena Ivanova and published by . This book was released on 1994 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "This paper presents a new learning system and reports its first successful application to a medical domain. Polygraphic data were recorded during 8-hours sleep in 2 infants. A set of 15 parameters were estimated and submitted to an expert for classification. In this way, two data files were obtained and used as a test domain for the system. The tree-based neural net builds on the idea of generating a decision tree and translating it into a neural network architecture that is trainable by the backpropagation algorithm. The network has unambiguously defined topology and initial weights, and its subsequent training is very fast. The contribution of the system's individual aspects to the overall performance is studied. The achieved classification accuracy of cca 85% compares very favourably with other learning systems."
Author : Stephen W. Ellacott
Publisher : Springer Science & Business Media
ISBN 13 : 1461560993
Total Pages : 423 pages
Book Rating : 4.4/5 (615 download)
Download or read book Mathematics of Neural Networks written by Stephen W. Ellacott and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume of research papers comprises the proceedings of the first International Conference on Mathematics of Neural Networks and Applications (MANNA), which was held at Lady Margaret Hall, Oxford from July 3rd to 7th, 1995 and attended by 116 people. The meeting was strongly supported and, in addition to a stimulating academic programme, it featured a delightful venue, excellent food and accommo dation, a full social programme and fine weather - all of which made for a very enjoyable week. This was the first meeting with this title and it was run under the auspices of the Universities of Huddersfield and Brighton, with sponsorship from the US Air Force (European Office of Aerospace Research and Development) and the London Math ematical Society. This enabled a very interesting and wide-ranging conference pro gramme to be offered. We sincerely thank all these organisations, USAF-EOARD, LMS, and Universities of Huddersfield and Brighton for their invaluable support. The conference organisers were John Mason (Huddersfield) and Steve Ellacott (Brighton), supported by a programme committee consisting of Nigel Allinson (UMIST), Norman Biggs (London School of Economics), Chris Bishop (Aston), David Lowe (Aston), Patrick Parks (Oxford), John Taylor (King's College, Lon don) and Kevin Warwick (Reading). The local organiser from Huddersfield was Ros Hawkins, who took responsibility for much of the administration with great efficiency and energy. The Lady Margaret Hall organisation was led by their bursar, Jeanette Griffiths, who ensured that the week was very smoothly run.
Author : Nada Lavrač
Publisher : Springer Science & Business Media
ISBN 13 : 9783540592860
Total Pages : 388 pages
Book Rating : 4.5/5 (928 download)
Download or read book Machine Learning: ECML-95 written by Nada Lavrač and published by Springer Science & Business Media. This book was released on 1995-04-05 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the proceedings of the Eighth European Conference on Machine Learning ECML-95, held in Heraclion, Crete in April 1995. Besides four invited papers the volume presents revised versions of 14 long papers and 26 short papers selected from a total of 104 submissions. The papers address all current aspects in the area of machine learning; also logic programming, planning, reasoning, and algorithmic issues are touched upon.
Author :
Publisher :
ISBN 13 :
Total Pages : 390 pages
Book Rating : 4.3/5 (91 download)
Download or read book Machine Learning, ECML- ... written by and published by . This book was released on 1995 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Martin T. Hagan
Publisher :
ISBN 13 : 9789812403766
Total Pages : pages
Book Rating : 4.4/5 (37 download)
Download or read book Neural Network Design written by Martin T. Hagan and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Asit Kumar Das
Publisher : Springer Nature
ISBN 13 : 9811625433
Total Pages : 756 pages
Book Rating : 4.8/5 (116 download)
Download or read book Computational Intelligence in Pattern Recognition written by Asit Kumar Das and published by Springer Nature. This book was released on 2021-09-04 with total page 756 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features high-quality research papers presented at the 3rd International Conference on Computational Intelligence in Pattern Recognition (CIPR 2021), held at the Institute of Engineering and Management, Kolkata, West Bengal, India, on 24 – 25 April 2021. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.
Author : John W. Lloyd
Publisher : Springer Science & Business Media
ISBN 13 : 3662084066
Total Pages : 263 pages
Book Rating : 4.6/5 (62 download)
Download or read book Logic for Learning written by John W. Lloyd and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a systematic approach to knowledge representation, computation, and learning using higher-order logic. For those interested in computational logic, it provides a framework for knowledge representation and computation based on higher-order logic, and demonstrates its advantages over more standard approaches based on first-order logic. For those interested in machine learning, the book explains how higher-order logic provides suitable knowledge representation formalisms and hypothesis languages for machine learning applications.
Author : William L. William L. Hamilton
Publisher : Springer Nature
ISBN 13 : 3031015886
Total Pages : 141 pages
Book Rating : 4.0/5 (31 download)
Download or read book Graph Representation Learning written by William L. William L. Hamilton and published by Springer Nature. This book was released on 2022-06-01 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis. This book provides a synthesis and overview of graph representation learning. It begins with a discussion of the goals of graph representation learning as well as key methodological foundations in graph theory and network analysis. Following this, the book introduces and reviews methods for learning node embeddings, including random-walk-based methods and applications to knowledge graphs. It then provides a technical synthesis and introduction to the highly successful graph neural network (GNN) formalism, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent advancements in deep generative models for graphs—a nascent but quickly growing subset of graph representation learning.
Author : Philipp Grohs
Publisher : Cambridge University Press
ISBN 13 : 1009035681
Total Pages : 494 pages
Book Rating : 4.0/5 (9 download)
Download or read book Mathematical Aspects of Deep Learning written by Philipp Grohs and published by Cambridge University Press. This book was released on 2022-12-22 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years the development of new classification and regression algorithms based on deep learning has led to a revolution in the fields of artificial intelligence, machine learning, and data analysis. The development of a theoretical foundation to guarantee the success of these algorithms constitutes one of the most active and exciting research topics in applied mathematics. This book presents the current mathematical understanding of deep learning methods from the point of view of the leading experts in the field. It serves both as a starting point for researchers and graduate students in computer science, mathematics, and statistics trying to get into the field and as an invaluable reference for future research.
Author : A.J. Tallón-Ballesteros
Publisher : IOS Press
ISBN 13 : 1643681370
Total Pages : 482 pages
Book Rating : 4.6/5 (436 download)
Download or read book Machine Learning and Artificial Intelligence written by A.J. Tallón-Ballesteros and published by IOS Press. This book was released on 2020-12-15 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning and artificial intelligence are already widely applied to facilitate our daily lives, as well as scientific research, but with the world currently facing a global COVID-19 pandemic, their capacity to provide an important tool to support those searching for a way to combat the novel corona virus has never been more important. This book presents the proceedings of the International Conference on Machine Learning and Intelligent Systems (MLIS 2020), which was due to be held in Seoul, Korea, from 25-28 October 2020, but which was delivered as an online conference on the same dates due to COVID-19 restrictions. MLIS 2020 was the latest in a series of annual conferences that aim to provide a platform for exchanging knowledge about the most recent scientific and technological advances in the field of machine learning and intelligent systems. The annual conference also strengthens links within the scientific community in related research areas. The book contains 53 papers, selected from more than 160 submissions and presented at MLIS 2020. Selection was based on the results of review and scored on: originality, scientific/practical significance, compelling logical reasoning and language. Topics covered include: data mining, image processing, neural networks, human health, natural language processing, video processing, computational intelligence, expert systems, human-computer interaction, deep learning, and robotics. Offering a current overview of research and developments in machine learning and artificial intelligence, the book will be of interest to all those working in the field.
Author : Christopher M. Bishop
Publisher : Oxford University Press
ISBN 13 : 0198538642
Total Pages : 501 pages
Book Rating : 4.1/5 (985 download)
Download or read book Neural Networks for Pattern Recognition written by Christopher M. Bishop and published by Oxford University Press. This book was released on 1995-11-23 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical pattern recognition; Probability density estimation; Single-layer networks; The multi-layer perceptron; Radial basis functions; Error functions; Parameter optimization algorithms; Pre-processing and feature extraction; Learning and generalization; Bayesian techniques; Appendix; References; Index.
Author : Tingwen Huang
Publisher : Springer
ISBN 13 : 3319925377
Total Pages : 879 pages
Book Rating : 4.3/5 (199 download)
Download or read book Advances in Neural Networks – ISNN 2018 written by Tingwen Huang and published by Springer. This book was released on 2018-05-25 with total page 879 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 15th International Symposium on Neural Networks, ISNN 2018, held in Minsk, Belarus in June 2018.The 98 revised regular papers presented in this volume were carefully reviewed and selected from 214 submissions. The papers cover many topics of neural network-related research including intelligent control, neurodynamic analysis, bio-signal, bioinformatics and biomedical engineering, clustering, classification, forecasting, models, algorithms, cognitive computation, machine learning, and optimization.
Author : Wita Wojtkowski
Publisher : Springer Science & Business Media
ISBN 13 : 1461542618
Total Pages : 490 pages
Book Rating : 4.4/5 (615 download)
Download or read book Systems Development Methods for Databases, Enterprise Modeling, and Workflow Management written by Wita Wojtkowski and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a result of the ISD'99, Eight International Conference on Infonnation Systems Development-Methods and Tools, Theory, and Practice held August 11-13, 1999 in Boise, Idaho, USA. The purpose of this conference was to address the issues facing academia and industry when specifying, developing, managing, and improving infonnation systems. ISD'99 consisted not only of the technical program represented in these Proceedings, but also of plenary sessions on product support and content management systems for the Internet environment, workshop on a new paradigm for successful acquisition of infonnation systems, and a panel discussion on current pedagogical issues in systems analysis and design. The selection of papers for ISD'99 was carried out by the International Program Committee. Papers presented during the conference and printed in this volume have been selected from submissions after fonnal double-blind reviewing process and have been revised by their authors based on the recommendations of reviewers. Papers were judged according to their originality, relevance, and presentation quality. All papers were judged purely on their own merits, independently of other submissions. We would like to thank the authors of papers accepted for ISD'99 who all made gallant efforts to provide us with electronic copies of their manuscripts confonning to common guidelines. We thank them for thoughtfully responding to reviewers comments and carefully preparing their final contributions. We thank Daryl Jones, provost of Boise State University and William Lathen, dean, College of Business and Economics, for their support and encouragement.
Author : Hariom Tatsat
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492073008
Total Pages : 432 pages
Book Rating : 4.4/5 (92 download)
Download or read book Machine Learning and Data Science Blueprints for Finance written by Hariom Tatsat and published by "O'Reilly Media, Inc.". This book was released on 2020-10-01 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry. You’ll examine ML concepts and over 20 case studies in supervised, unsupervised, and reinforcement learning, along with natural language processing (NLP). Ideal for professionals working at hedge funds, investment and retail banks, and fintech firms, this book also delves deep into portfolio management, algorithmic trading, derivative pricing, fraud detection, asset price prediction, sentiment analysis, and chatbot development. You’ll explore real-life problems faced by practitioners and learn scientifically sound solutions supported by code and examples. This book covers: Supervised learning regression-based models for trading strategies, derivative pricing, and portfolio management Supervised learning classification-based models for credit default risk prediction, fraud detection, and trading strategies Dimensionality reduction techniques with case studies in portfolio management, trading strategy, and yield curve construction Algorithms and clustering techniques for finding similar objects, with case studies in trading strategies and portfolio management Reinforcement learning models and techniques used for building trading strategies, derivatives hedging, and portfolio management NLP techniques using Python libraries such as NLTK and scikit-learn for transforming text into meaningful representations
Author :
Publisher :
ISBN 13 : 9781577352815
Total Pages : 998 pages
Book Rating : 4.3/5 (528 download)
Download or read book Proceedings written by and published by . This book was released on 2006 with total page 998 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Abdullah Bin Gani
Publisher : Springer Nature
ISBN 13 : 9811513848
Total Pages : 313 pages
Book Rating : 4.8/5 (115 download)
Download or read book Information, Communication and Computing Technology written by Abdullah Bin Gani and published by Springer Nature. This book was released on 2019-11-12 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th International Conference on Information, Communication and Computing Technology, ICICCT 2019, held in New Delhi, India, in May 2019. The 23 full papers and one short paper presented in this volume were carefully reviewed and selected from 120 submissions. The papers are organized in topical sections on communication and network systems; and emerging computing technologies.
