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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  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. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. COGNITIVE APPROACH TO MUSICAL DATA ANALYSIS

    Digital signal processing is one of the most rapidly develo** areas of science. With the explosive expansion of the Internet, the number of very...
    Chapter
  19. 9 On Observing Contact States in Overconstrained Manipulation

    Estimation of contact state is important to any multi-point interaction that involves frictional stick/slip phenomena. In particular, when there are...
    Chapter
  20. An Algorithm to Calculate the Expected Value of an Ongoing User Session

    The fiercely competitive web-based electronic commerce environment has made necessary the application of intelligent methods to gather and analyze...
    S. Millán, E. Menasalvas, ... E. Hochsztain in Foundations of Data Mining and knowledge Discovery
    Chapter
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