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  1. Componentwise Least Squares Support Vector Machines

    This chapter describes componentwise Least Squares Support Vector Machines (LS-SVMs) for the estimation of additive models consisting of a sum of...
    K. Pelckmans, I. Goethals, ... B.D. Moor in Support Vector Machines: Theory and Applications
    Chapter

  2. Fuzzy Support Vector Machines with Automatic Membership Setting

    Support vector machines like other classification approaches aim to learn the decision surface from the input points for classification problems or...
    C.-fu Lin, S.-de Wang in Support Vector Machines: Theory and Applications
    Chapter

  3. Adaptive Discriminant and Quasiconformal Kernel Nearest Neighbor Classification

    Nearest neighbor classification assumes locally constant class conditional probabilities. This assumption becomes invalid in high dimensions due to...
    J. Peng, D.R. Heisterkamp, H.K. Dai in Support Vector Machines: Theory and Applications
    Chapter

  4. Some Considerations in Multi-Source Data Fusion

    We introduce the data fusion problem and carefully distinguish it from a number of closely problems. Some of the considerations and knowledge that...
    Ronald R. Yager in Intelligent Data Mining
    Chapter

  5. Fuzzy Process Control with Intelligent Data Mining

    The quality-related characteristics cannot sometimes be represented in numerical form, such as characteristics for appearance, softness, color, etc....
    Murat Gülbay, Cengiz Kahraman in Intelligent Data Mining
    Chapter

  6. Evolutionary Induction of Descriptive Rules in a Market Problem

    Nowadays, face to face contact with the client continues to be fundamental to the development of marketing acts. Trade fairs are, in this sense, a...
    M.J. del Jesus, P. González, ... M. Mesonero in Intelligent Data Mining
    Chapter

  7. Clustering with Intelligent Techniques

    Cluster analysis is a technique for grou** data and finding structures in data. The most common application of clustering methods is to partition a...
    Patricia Melin, Oscar Castillo in Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing
    Chapter

  8. Self-Tuning Fuzzy Rule Bases with Belief Structure

    A fuzzy rule-based evidential reasoning (FURBER) approach has been proposed recently, where a fuzzy rule-base designed on the basis of a belief...
    Jun Liu, Da Ruan, ... Luis Martinez Martinez in Intelligent Data Mining
    Chapter

  9. Personalized Multi-Stage Decision Support in Reverse Logistics Management

    Reverse logistics has gained increasing importance as a profitable and sustainable business strategy. As a reverse logistics chain has strong...
    Jie Lu, Guangquan Zhang in Intelligent Data Mining
    Chapter

  10. Advanced Simulator Data Mining for Operators’ Performance Assessment

    This chapter covers the use of data mining operations associated with power plant simulations for training and other purposes, such as risk...
    Anthony Spurgin, Gueorgui Petkov in Intelligent Data Mining
    Chapter

  11. Data Mining for Maximal Frequent Patterns in Sequence Groups

    In this paper, we give a general treatment for mining some kinds of sequences such as customer sequences, document sequences, and DNA sequences....
    J.W. Guan, D.A. Bell, D.Y. Liu in Intelligent Data Mining
    Chapter

  12. Sensory Quality Management and Assessment: from Manufacturers to Consumers

    This paper presents an intelligent technique based method for analyzing and interpreting sensory data provided by multiple panels for the evaluation...
    Ludovic Koehl, **anyi Zeng, ... Yongsheng Ding in Intelligent Data Mining
    Chapter

  13. Evidence Based Telemedicine

    This chapter focuses on evidence based telemedicine and its various applications. Evidence based medicine is the integration of best research...
    George Anogianakis, Anelia Klisarova, ... Antonia Anogeianaki in Intelligent Paradigms for Healthcare Enterprises
    Chapter

  14. Virtual Communities in Health Care

    A virtual community is a social entity involving several individuals who relate to one another by the use of a specific communication technology that...
    George Demiris in Intelligent Paradigms for Healthcare Enterprises
    Chapter

  15. Active-Set Methods for Support Vector Machines

    This chapter describes an active-set algorithm for quadratic programming problems that arise from the computation of support vector machines (SVMs)....
    M. Vogt, V. Kecman in Support Vector Machines: Theory and Applications
    Chapter

  16. Local Learning vs. Global Learning: An Introduction to Maxi-Min Margin Machine

    We present a unifying theory of the Maxi-Min Margin Machine (M4) that subsumes the Support Vector Machine (SVM), the Minimax Probability Machine...
    K. Huang, H. Yang, ... M.R. Lyu in Support Vector Machines: Theory and Applications
    Chapter

  17. Application of Support Vector Machine to the Detection of Delayed Gastric Emptying from Electrogastrograms

    The radioscintigraphy is currently the gold standard for gastric emptying test, but it involves radiation exposure and considerable expenses. Recent...
    H. Liang in Support Vector Machines: Theory and Applications
    Chapter

  18. An Accelerated Robust Support Vector Machine Algorithm

    This chapter proposes an accelerated decomposition algorithm for robust support vector machine (SVM). Robust SVM aims at solving the overfitting...
    Q. Song, W. Hu, X. Yang in Support Vector Machines: Theory and Applications
    Chapter

  19. Unsupervised Learning Neural Networks

    This chapter introduces the basic concepts and notation of unsupervised learning neural networks. Unsupervised networks are useful for analyzing data...
    Patricia Melin, Oscar Castillo in Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing
    Chapter

  20. Evolutionary Computing for Architecture Optimization

    This chapter introduces the basic concepts and notation of evolutionary algorithms, which are basic search methodologies that can be used for...
    Patricia Melin, Oscar Castillo in Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing
    Chapter
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