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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. Introduction

    Genetic algorithms (GAs) are powerful search techniques based on principles of evolution. They are now widely applied to solve problems in many...
    Chapter
  16. Linkage Learning Genetic Algorithm

    In order to handle linkage evolution and to tackle the ordering problem, Harik [47] took Holland’s call [53] for the evolution of tight linkage quite...
    Chapter
  17. Preliminaries: Assumptions and the Test Problem

    After introducing the background and motivation of the linkage learning genetic algorithm, we will start to improve and understand the linkage...
    Chapter
  18. 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. Xia, P.S. Yu in Foundations and Advances in Data Mining
    Chapter
  19. 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
  20. PERCEPTUAL BASES OF HEARING AND MUSIC PERCEPTION

    The human auditory system pertains to the entire peripheral auditory mechanism. Classically, the peripheral auditory system has been divided into...
    Chapter