| Paper
code |
Title |
Authors |
| 02 |
Some results on Weakly Accurate Base
Learners for Boosting Regression and Classification |
Wenxin Jiang |
| 04 |
Boosting in Linear Discriminant Analysis |
Marina Skurichina, Robert P.W. Duin |
| 06 |
Combining Fingerprint Classifiers |
R. Cappelli, D. Maio, D. Maltoni |
| 07 |
Different Ways for Weakening Decision
Trees and Their Impact on Classification Accuracy of DT Combination |
P. Latinne, O. Debeir, C. Decaestecker |
| 09 |
Complexity of Classification Problems
and Comparative Advantages of Combined Classifiers |
Tin Kam Ho |
| 10 |
Effectiveness of error correcting
output codes in multiclass learning problems |
Francesco Masulli, Giorgio Valentini |
| 12 |
A new evaluation method for expert
combination in multi-expert system designing |
S. Impedovo, A. Salzo |
| 13 |
Combining Fisher linear discriminants
for dissimilarity represenatation |
E. Pekalska, M. Skurichina, R.P.W.
Duin |
| 16 |
A Learning Method of Feature Selection
for Rough Classification |
Katsuhiko Takahashi, Atsushi Sato |
| 17 |
Diversity Between Neural Networks
and Decision Trees for Building Multiversion Systems |
Wenjia Wang, Phillis Jones, Derek
Partridge |
| 18 |
Applying Boosting to Similarity Literals
for Time Series Classification |
Juan J. Rodríguez, Carlos
J. Alonso |
| 19 |
Statistical Sensor Calibration for
Fusion of Different Classifiers in a Biometric Person Recognition
Framework |
Bernhard Fröba, Constanze Rothe,
Christian Küblbeck |
| 20 |
Self-organizing decomposition of
functions in the context of a unified framework for multiple
classifier systems |
Niall Griffith, Derek Partridge |
| 21 |
Analysis of a Fusion Method for Combining
Marginal Classifiers |
Mark D. Happel, Peter Bock |
| 22 |
A modular neuro-fuzzy network for
musical instruments classification |
A. M. Fanelli, G. Castellano, C.
A. Buscicchio |
| 23 |
Classifier Instability and Partitioning |
Terry Windeatt |
| 24 |
A Multi-Expert System for Dynamic
Signature Verification |
V. Di Lecce, G. Dimauro, A. Guerriero,
S. Impedovo, G. Pirlo, A. Salzo |
| 25 |
A hybrid projection based and radial
basis function architecture |
Shimon Cohen, Nathan Intrator |
| 26 |
Classifier Combination for Grammar-Guided
Sentence Recognition |
Xiaoyi Jiang, Keren Yu, Horst Bunke |
| 27 |
Shape matching and extraction by
an array of figure-and-ground classifiers |
Itsuo Kumazawa |
| 28 |
Combining Multiple non-Homogeneous
Classifiers: an Empirical Approach |
J.R. Parker |
| 29 |
Combining Multiple Classifiers in
Probabilistic Neural Networks |
J. Grim, J. Kittler, P. Pudil, P.
Somol |
| 30 |
Architecture for Classifier Combination
using Entropy Measures |
K. Ianakiev, V. Govindaraju |
| 31 |
Use of Lexicon Density in Evaluating
Word Recognizers |
P. Slavík, V. Govindaraju |
| 32 |
Classifier Combination: Implementations
and Theoretical Issues |
Louisa Lam |
| 33 |
A Cascaded Multiple Expert System
for Verification |
L. P. Cordella, P. Foggia, C. Sansone,
F. Tortorella, M. Vento |
| 34 |
A Hierarchical Multiclassifier System for Hyperspectral
Data Analysis |
S. Kumar, J. Ghosh, M. Crawford |
| 36 |
Supervised Classifier Combination
Through Generalized Additive Multi Model |
C. Conversano, R. Siciliano, F. Mola |
| 37 |
A Mathematically Rigorous Foundation
For Supervised Learning |
Eugene M. Kleinberg |
| 40 |
Consensus Based Classification of Multisource
Remote Sensing Data |
J.A. Benediktsson, J.R. Sveinsson |
| 41 |
Combining parametric and nonparametric classifiers
for an unsupervised updating of land-cover maps |
Lorenzo Bruzzone, Roberto Cossu, Diego Fernández
Prieto |
| 42 |
A Multiple Self-Organizing Map Scheme for Remote
Sensing Classification |
Weijian Wan and Donald Fraser |
| 43 |
Boosting of Tree-based Classifiers
for Predicitve Risk Modeling in GIS |
Cesare Furlanello, Stefano Merler |
| 45 |
Dynamic Classifier Selection |
Giorgio Giacinto, Fabio Roli |