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Showing 1 - 12 of 12 results for “mahdi eftekhari”
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  • How Fuzzy Concepts Contribute to Machine Learning

    by Mahdi Eftekhari, Adel Mehrpooya, Farid Saberi-Movahed, Vicenç Torra ...
    Series series Intelligent Technologies and Robotics (R0)
    This book introduces some contemporary approaches on the application of fuzzy and hesitant fuzzy sets in machine learning tasks such as classification, clustering and dimension reduction. Many situations arise in machine learning algorithms in which applying methods for uncertainty modeling and multi-criteria decision making can lead to a better understanding of algorithms behavior as well as ... Read more

    $115.99 CAD

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  • Pattern Recognition

    by Konstantinos Koutroumbas, Sergios Theodoridis ...
    This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading experts in the field of pattern recognition, have provided an up-to-date, self-contained volume encapsulating this wide spectrum of information. The very latest methods ... Read more

    $95.19 CAD

  • Kernel Methods and Machine Learning

    by S. Y. Kung ...
    Offering a fundamental basis in kernel-based learning theory, this book covers both statistical and algebraic principles. It provides over 30 major theorems for kernel-based supervised and unsupervised learning models. The first of the theorems establishes a condition, arguably necessary and sufficient, for the kernelization of learning models. In addition, several other theorems are devoted to ... Read more

    $110.99 CAD

  • Social Networks with Rich Edge Semantics

    by Quan Zheng, David Skillicorn ...
    Series series Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
    Social Networks with Rich Edge Semantics introduces a new mechanism for representing social networks in which pairwise relationships can be drawn from a range of realistic possibilities, including different types of relationships, different strengths in the directions of a pair, positive and negative relationships, and relationships whose intensities change with time. For each possibility, the ... Read more

    Free

  • Computational Intelligence

    Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing

    by Nazmul Siddique, Hojjat Adeli ...
    Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the cutting edge technological paradigms under the umbrella of computational intelligence. Computational intelligence schemes are investigated with the development of a suitable framework for fuzzy logic, neural networks and evolutionary computing, neuro-fuzzy ... Read more

    $155.99 CAD

  • Gmdh-methodology And Implementation In Matlab

    by Godfrey C Onwubolu ...
    Group method of data handling (GMDH) is a typical inductive modeling method built on the principles of self-organization. Since its introduction, inductive modelling has been developed to support complex systems in prediction, clusterization, system identification, as well as data mining and knowledge extraction technologies in social science, science, engineering, and medicine.This is the first ... Read more

    $48.99 CAD

  • Pathways to Machine Learning and Soft Computing

    邁向機器學習與軟計算之路（國際英文版）

    by Jyh-Horng Jeng, 鄭志宏 ...
    This book provides frequently studied and used machines together with soft computing methods such as evolutionary computation. The main topics of the machine learning cover Artificial Neural Networks (ANNs), Radial Basis Function Networks (RBFNs), Fuzzy Neural Networks (FNNs), Support Vector Machines (SVMs), and Wilcoxon Learning Machines (WLMs). The soft computing methods include Genetic ... Read more

    $8.99 CAD or Free with Kobo Plus

  • Machine Learning - A Journey To Deep Learning: With Exercises And Answers

    by Andreas Miroslaus Wichert, Luis Sa-couto ...
    This unique compendium discusses some core ideas for the development and implementation of machine learning from three different perspectives — the statistical perspective, the artificial neural network perspective and the deep learning methodology.The useful reference text represents a solid foundation in machine learning and should prepare readers to apply and understand machine learning ... Read more

    $151.99 CAD

  • Fuzzy Neural Networks for Real Time Control Applications

    Concepts, Modeling and Algorithms for Fast Learning

    by Erdal Kayacan, Mojtaba Ahmadieh Khanesar ...
    AN INDISPENSABLE RESOURCE FOR ALL THOSE WHO DESIGN AND IMPLEMENT TYPE-1 AND TYPE-2 FUZZY NEURAL NETWORKS IN REAL TIME SYSTEMS Delve into the type-2 fuzzy logic systems and become engrossed in the parameter update algorithms for type-1 and type-2 fuzzy neural networks and their stability analysis with this book! Not only does this book stand apart from others in its focus but also in its ... Read more

    $87.99 CAD

  • Neural Networks and Statistical Learning

    by Ke-Lin Du, M. N. S. Swamy ...
    Series series Engineering (R0)
    Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered with examples and exercises in every chapter to develop a practical working understanding of the content.Each of ... Read more

    $128.99 CAD

  • Graph Representation Learning

    by William L. Hamilton ...
    Series series Synthesis Lectures on Artificial Intelligence and Machine Learning
    This book is a foundational guide to graph representation learning, including state-of-the art advances, and introduces the highly successful graph neural network (GNN) formalism.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 ... Read more

    $54.99 CAD

  • Computer Aided Verification

    33rd International Conference, CAV 2021, Virtual Event, July 20–23, 2021, Proceedings, Part I

    Edited by Alexandra Silva, K. Rustan M. Leino ...
    Series Book 1 - Springer Nature Proceedings Computer Science
    This open access two-volume set LNCS 12759 and 12760 constitutes the refereed proceedings of the 33rd International Conference on Computer Aided Verification, CAV 2021, held virtually in July 2021.The 63 full papers presented together with 16 tool papers and 5 invited papers were carefully reviewed and selected from 290 submissions. The papers were organized in the following topical sections:Part ... Read more

    Free