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  1. Dynamics of a stochastic and periodic virus model with Beddington-DeAngelis functional response

    We consider a periodic virus model with Beddington-DeAngelis functional responses, which is assumed that not only the death rate of the uninfected,...

    Peilin Shi, Lingzhen Dong in Journal of Applied Mathematics and Computing
    Article 14 July 2024
  2. Evolution of the Internet Topology and Traffic Dynamics of Data Packets

    In recent years, the Internet has become one of the most influential media in our daily life, going beyond in its role as the basic infrastructure in...
    Kwang-Il Goh, Byungnam Kahng, Doochul Kim in Complex Dynamics in Communication Networks
    Chapter
  3. Iterative Single Data Algorithm for Training Kernel Machines from Huge Data Sets: Theory and Performance

    The chapter introduces the latest developments and results of Iterative Single Data Algorithm (ISDA) for solving large-scale support vector machines...
    V. Kecman, T.-M. Huang, M. Vogt in Support Vector Machines: Theory and Applications
    Chapter
  4. Application of Support Vector Machines in Inverse Problems in Ocean Color Remote Sensing

    Neural networks are widely used as transfer functions in inverse problems in remote sensing. However, this method still suffers from some problems...
    Chapter
  5. Tachycardia Discrimination in Implantable Cardioverter Defibrillators Using Support Vector Machines and Bootstrap Resampling

    Accurate automatic discrimination between supraventricular (SV) and ventricular (V) tachycardia (T) in implantable cardioverter defibrillators (ICD)...
    J.L. Rojo-Álvarez, A. García-Alberola, ... Á Arenal-Maíz in Support Vector Machines: Theory and Applications
    Chapter
  6. Cancer Diagnosis and Protein Secondary Structure Prediction Using Support Vector Machines

    In this chapter, we use support vector machines (SVMs) to deal with two bioinformatics problems, i.e., cancer diagnosis based on gene expression data...
    Chapter
  7. The Kernel Memory Concept – A Paradigm Shift from Conventional Connectionism

    In this chapter, the general concept of kernel memory (KM) is described, which is given as the basis for not only representing the general notion of...
    Chapter
  8. Modelling Abstract Notions Relevant to the Mind and the Associated Modules

    This chapter is devoted to the remaining four modules within the AMS, i.e. 1) attention, 2) emotion, 3) intention, and 4) intuition module, and their...
    Chapter
  9. Reconfiguration Using a Virtual Actuator

    This chapter develops the concept of a virtual actuator. The idea of a virtual actuator is to use the input signal meant for the nominal process and...
    Chapter
  10. INTELLIGENT MUSICAL INSTRUMENT SOUND CLASSIFICATION

    This chapter is devoted to intelligent classification of the sound of musical instruments. Although it is possible, and in some applications...
    Chapter
  11. INTRODUCTION

    Over the last decade, a series of publications has brought and established new research areas related to music, and intensified the research verging...
    Chapter
  12. Synchronization in Complex Networks

    The study of complex systems pervades all of science, from cell biology to ecology, from computer science to meteorology. A paradigm of a complex...
    Ljupco Kocarev, Gábor Vattay in Complex Dynamics in Communication Networks
    Chapter
  13. Data Traffic, Topology and Congestion

    We consider the interaction between the topology of a network and the tra.c carried along its channels. The binding elements between the topology and...
    David K. Arrowsmith, R.J. Mondrag, M. Woolf in Complex Dynamics in Communication Networks
    Chapter
  14. Kernel Discriminant Learning with Application to Face Recognition

    When applied to high-dimensional pattern classification tasks such as face recognition, traditional kernel discriminant analysis methods often suffer...
    J. Lu, K.N. Plataniotis, A.N. Venetsanopoulos in Support Vector Machines: Theory and Applications
    Chapter
  15. Multiple Model Estimation for Nonlinear Classification

    This chapter describes a new method for nonlinear classification using a collection of several simple (linear) classifiers. The approach is based on...
    Chapter
  16. Active Support Vector Learning with Statistical Queries

    The article describes an active learning strategy to solve the large quadratic programming (QP) problem of support vector machine (SVM) design in...
    P. Mitra, C.A. Murthy, S.K. Pal in Support Vector Machines: Theory and Applications
    Chapter
  17. Clustering Via Decision Tree Construction

    Clustering is an exploratory data analysis task. It aims to find the intrinsic structure of data by organizing data objects into similarity groups or...
    B. Liu, Y. **a, P.S. Yu in Foundations and Advances in Data Mining
    Chapter
  18. A New Theoretical Framework for K-Means-Type Clustering

    One of the fundamental clustering problems is to assign n points into k clusters based on the minimal sum-of-squares(MSSC), which is known to be...
    Chapter
  19. Literature Overview

    This chapter introduces the main literature relevant for the field of reconfi-guration. During the last decade, different communities have dealt with...
    Chapter
  20. Linear Reconfiguration Problem

    In this chapter, the general reconfiguration problem is specialised by applying it to linear systems. The advantage is that the problem can be broken...
    Chapter
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