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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...
    H. Zhan in Support Vector Machines: Theory and Applications
    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...
    F. Chu, G. **, L. Wang in Support Vector Machines: Theory and Applications
    Chapter

  6. 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

  7. 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

  8. 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

  9. 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...
    Y. Ma, V. Cherkassky in Support Vector Machines: Theory and Applications
    Chapter

  10. 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

  11. Fast Color Texture-Based Object Detection in Images: Application to License Plate Localization

    The current chapter presents a color texture-based method for object detection in images. A support vector machine (SVM) is used to classify each...
    K.I. Kim, K. Jung, H.J. Kim in Support Vector Machines: Theory and Applications
    Chapter

  12. Gas Sensing Using Support Vector Machines

    In this chapter we deal with the use of Support Vector Machines in gas sensing. After a brief introduction to the inner workings of multisensor...
    J. Brezmes, E. Llobet, ... J.W. Gardner in Support Vector Machines: Theory and Applications
    Chapter

  13. Support Vector Machines – An Introduction

    This is a book about learning from empirical data (i.e., examples, samples, measurements, records, patterns or observations) by applying support...
    V. Kecman in Support Vector Machines: Theory and Applications
    Chapter

  14. Improving the Performance of the Support Vector Machine: Two Geometrical Scaling Methods

    In this chapter, we discuss two possible ways of improving the performance of the SVM, using geometric methods. The first adapts the kernel by...
    P. Williams, S. Wu, J. Feng in Support Vector Machines: Theory and Applications
    Chapter

  15. Fingerprint Recognition with Modular Neural Networks and Fuzzy Measures

    We describe in this chapter a new approach for fingerprint recognition using modular neural networks with a fuzzy logic method for response...
    Patricia Melin, Oscar Castillo in Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing
    Chapter

  16. Modular Neural Networks

    We describe in this chapter the basic concepts, theory and algorithms of modular and ensemble neural networks. We will also give particular attention...
    Patricia Melin, Oscar Castillo in Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing
    Chapter

  17. Type-1 Fuzzy Logic

    This chapter introduces the basic concepts, notation, and basic operations for the type-1 fuzzy sets that will be needed in the following chapters....
    Patricia Melin, Oscar Castillo in Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing
    Chapter

  18. Human Recognition using Face, Fingerprint and Voice

    We describe in this chapter a new approach for human recognition using as information the face, fingerprint, and voice of a person. We have described...
    Patricia Melin, Oscar Castillo in Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing
    Chapter

  19. Voice Recognition with Neural Networks, Fuzzy Logic and Genetic Algorithms

    We describe in this chapter the use of neural networks, fuzzy logic and genetic algorithms for voice recognition. In particular, we consider the case...
    Patricia Melin, Oscar Castillo in Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing
    Chapter

  20. Nonlinear Instabilities in TCP-RED

    With the growing size and popularity of the Internet, congestion control has emerged as an important problem. Poor management of congestion can...
    Priya Ranjan, Eyad H. Abed, Richard J. La in Complex Dynamics in Communication Networks
    Chapter
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