Multiple Classifier Systems

Table of Contents

1. Altmetric Badge
   Book Overview
2. Altmetric Badge
   Chapter 1 Classifier Ensembles for Changing Environments
3. Altmetric Badge
   Chapter 2 A Generic Sensor Fusion Problem: Classification and Function Estimation
4. Altmetric Badge
   Chapter 3 AveBoost2: Boosting for Noisy Data
5. Altmetric Badge
   Chapter 4 Bagging Decision Multi-trees
6. Altmetric Badge
   Chapter 5 Learn++.MT: A New Approach to Incremental Learning
7. Altmetric Badge
   Chapter 6 Beyond Boosting: Recursive ECOC Learning Machines
8. Altmetric Badge
   Chapter 7 Exact Bagging with k -Nearest Neighbour Classifiers
9. Altmetric Badge
   Chapter 8 Yet Another Method for Combining Classifiers Outputs: A Maximum Entropy Approach
10. Altmetric Badge
    Chapter 9 Combining One-Class Classifiers to Classify Missing Data
11. Altmetric Badge
    Chapter 10 Combining Kernel Information for Support Vector Classification
12. Altmetric Badge
    Chapter 11 Combining Classifiers Using Dependency-Based Product Approximation with Bayes Error Rate
13. Altmetric Badge
    Chapter 12 Combining Dissimilarity-Based One-Class Classifiers
14. Altmetric Badge
    Chapter 13 A Modular System for the Classification of Time Series Data
15. Altmetric Badge
    Chapter 14 A Probabilistic Model Using Information Theoretic Measures for Cluster Ensembles
16. Altmetric Badge
    Chapter 15 Classifier Fusion Using Triangular Norms
17. Altmetric Badge
    Chapter 16 Dynamic Integration of Regression Models
18. Altmetric Badge
    Chapter 17 Dynamic Classifier Selection by Adaptive k-Nearest-Neighbourhood Rule
19. Altmetric Badge
    Chapter 18 Spectral Measure for Multi-class Problems
20. Altmetric Badge
    Chapter 19 The Relationship between Classifier Factorisation and Performance in Stochastic Vector Quantisation
21. Altmetric Badge
    Chapter 20 A Method for Designing Cost-Sensitive ECOC
22. Altmetric Badge
    Chapter 21 Building Graph-Based Classifier Ensembles by Random Node Selection
23. Altmetric Badge
    Chapter 22 A Comparison of Ensemble Creation Techniques
24. Altmetric Badge
    Chapter 23 Multiple Classifiers System for Reducing Influences of Atypical Observations
25. Altmetric Badge
    Chapter 24 Sharing Training Patterns among Multiple Classifiers
26. Altmetric Badge
    Chapter 25 First Experiments on Ensembles of Radial Basis Functions
27. Altmetric Badge
    Chapter 26 Random Aggregated and Bagged Ensembles of SVMs: An Empirical Bias–Variance Analysis
28. Altmetric Badge
    Chapter 27 Building Diverse Classifier Outputs to Evaluate the Behavior of Combination Methods: The Case of Two Classifiers
29. Altmetric Badge
    Chapter 28 An Empirical Comparison of Hierarchical vs. Two-Level Approaches to Multiclass Problems
30. Altmetric Badge
    Chapter 29 Experiments on Ensembles with Missing and Noisy Data
31. Altmetric Badge
    Chapter 30 Induced Decision Fusion in Automated Sign Language Interpretation: Using ICA to Isolate the Underlying Components of Sign
32. Altmetric Badge
    Chapter 31 Ensembles of Classifiers Derived from Multiple Prototypes and Their Application to Handwriting Recognition
33. Altmetric Badge
    Chapter 32 Network Intrusion Detection by a Multi-stage Classification System
34. Altmetric Badge
    Chapter 33 Application of Breiman’s Random Forest to Modeling Structure-Activity Relationships of Pharmaceutical Molecules
35. Altmetric Badge
    Chapter 34 Experimental Study on Multiple LDA Classifier Combination for High Dimensional Data Classification
36. Altmetric Badge
    Chapter 35 Physics-Based Decorrelation of Image Data for Decision Level Fusion in Face Verification
37. Altmetric Badge
    Chapter 36 High Security Fingerprint Verification by Perceptron-Based Fusion of Multiple Matchers
38. Altmetric Badge
    Chapter 37 Second Guessing a Commercial’Black Box’ Classifier by an’In House’ Classifier: Serial Classifier Combination in a Speech Recognition Application