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Publication search results
found 38 matches
- 2004
- Hanan Ayad, Otman A. Basir, Mohamed Kamel:
A Probabilistic Model Using Information Theoretic Measures for Cluster Ensembles. Multiple Classifier Systems 2004: 144-153 - Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, Divya Bhadoria, W. Philip Kegelmeyer, Steven Eschrich:
A Comparison of Ensemble Creation Techniques. Multiple Classifier Systems 2004: 223-232 - Piero P. Bonissone, Kai Goebel, Weizhong Yan:
Classifier Fusion Using Triangular Norms. Multiple Classifier Systems 2004: 154-163 - Bruno Caprile, Stefano Merler, Cesare Furlanello, Giuseppe Jurman:
Exact Bagging with k-Nearest Neighbour Classifiers. Multiple Classifier Systems 2004: 72-81 - Lei Chen, Mohamed Kamel, Ju Jiang:
A Modular System for the Classification of Time Series Data. Multiple Classifier Systems 2004: 134-143 - Luigi P. Cordella, Alessandro Limongiello, Carlo Sansone:
Network Intrusion Detection by a Multi-stage Classification System. Multiple Classifier Systems 2004: 324-333 - Rozita A. Dara, Mohamed S. Kamel:
Sharing Training Patterns among Multiple Classifiers. Multiple Classifier Systems 2004: 243-252 - Luca Didaci, Giorgio Giacinto:
Dynamic Classifier Selection by Adaptive k-Nearest-Neighbourhood Rule. Multiple Classifier Systems 2004: 174-183 - Isaac Martín de Diego, Javier M. Moguerza, Alberto Muñoz:
Combining Kernel Information for Support Vector Classification. Multiple Classifier Systems 2004: 102-111 - Vicent Estruch, César Ferri, José Hernández-Orallo, M. José Ramírez-Quintana:
Bagging Decision Multi-trees. Multiple Classifier Systems 2004: 41-51 - Simon Günter, Horst Bunke:
Ensembles of Classifiers Derived from Multiple Prototypes and Their Application to Handwriting Recognition. Multiple Classifier Systems 2004: 314-323 - Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Joaquín Torres-Sospedra:
First Experiments on Ensembles of Radial Basis Functions. Multiple Classifier Systems 2004: 253-262 - Piotr Juszczak, Robert P. W. Duin:
Combining One-Class Classifiers to Classify Missing Data. Multiple Classifier Systems 2004: 92-101 - Hee-Joong Kang:
Combining Classifiers Using Dependency-Based Product Approximation with Bayes Error Rate. Multiple Classifier Systems 2004: 112-121 - Josef Kittler, Mohammad Sadeghi:
Physics-Based Decorrelation of Image Data for Decision Level Fusion in Face Verification. Multiple Classifier Systems 2004: 354-363 - Ludmila I. Kuncheva:
Classifier Ensembles for Changing Environments. Multiple Classifier Systems 2004: 1-15 - Gian Luca Marcialis, Fabio Roli:
High Security Fingerprint Verification by Perceptron-Based Fusion of Multiple Matchers. Multiple Classifier Systems 2004: 364-373 - Claudio Marrocco, Francesco Tortorella:
A Method for Designing Cost-Sensitive ECOC. Multiple Classifier Systems 2004: 204-213 - Prem Melville, Nishit Shah, Lilyana Mihalkova, Raymond J. Mooney:
Experiments on Ensembles with Missing and Noisy Data. Multiple Classifier Systems 2004: 293-302 - Michael Muhlbaier, Apostolos Topalis, Robi Polikar:
Learn++.MT: A New Approach to Incremental Learning. Multiple Classifier Systems 2004: 52-61 - Nikunj C. Oza:
AveBoost2: Boosting for Noisy Data. Multiple Classifier Systems 2004: 31-40 - Elzbieta Pekalska, Marina Skurichina, Robert P. W. Duin:
Combining Dissimilarity-Based One-Class Classifiers. Multiple Classifier Systems 2004: 122-133 - Fuad Rahman, Yuliya Tarnikova, Aman Kumar, Hassan Alam:
Second Guessing a Commercial 'Black Box' Classifier by an 'In House' Classifier: Serial Classifier Combination in a Speech Recognition Application. Multiple Classifier Systems 2004: 374-383 - Suju Rajan, Joydeep Ghosh:
An Empirical Comparison of Hierarchical vs. Two-Level Approaches to Multiclass Problems. Multiple Classifier Systems 2004: 283-292 - Nageswara S. V. Rao:
A Generic Sensor Fusion Problem: Classification and Function Estimation. Multiple Classifier Systems 2004: 16-30 - Sarunas Raudys, Masakazu Iwamura:
Multiple Classifiers System for Reducing Influences of Atypical Observations. Multiple Classifier Systems 2004: 233-242 - Niall Rooney, David W. Patterson, Sarab S. Anand, Alexey Tsymbal:
Dynamic Integration of Regression Models. Multiple Classifier Systems 2004: 164-173 - Marco Saerens, François Fouss:
Yet Another Method for Combining Classifiers Outputs: A Maximum Entropy Approach. Multiple Classifier Systems 2004: 82-91 - Adam Schenker, Horst Bunke, Mark Last, Abraham Kandel:
Building Graph-Based Classifier Ensembles by Random Node Selection. Multiple Classifier Systems 2004: 214-222 - Vladimir Svetnik, Andy Liaw, Christopher Tong, Ting Wang:
Application of Breiman's Random Forest to Modeling Structure-Activity Relationships of Pharmaceutical Molecules. Multiple Classifier Systems 2004: 334-343
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