Improving accuracy in word class tagging through the combination of machine learning systems
Computational Linguistics
Confidence estimation for NLP applications
ACM Transactions on Speech and Language Processing (TSLP)
Using Distributed Data Mining and Distributed Artificial Intelligence for Knowledge Integration
CIA '07 Proceedings of the 11th international workshop on Cooperative Information Agents XI
Human Distress Sound Analysis and Characterization Using Advanced Classification Techniques
SETN '08 Proceedings of the 5th Hellenic conference on Artificial Intelligence: Theories, Models and Applications
Combining Bagging, Boosting and Dagging for Classification Problems
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
BioNLP '07 Proceedings of the Workshop on BioNLP 2007: Biological, Translational, and Clinical Language Processing
Unsupervised Hierarchical Weighted Multi-segmenter
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Proceedings of the 2nd International Conference on PErvasive Technologies Related to Assistive Environments
Stacked generalization: when does it work?
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Issues in stacked generalization
Journal of Artificial Intelligence Research
A recent advance in the automatic indexing of the biomedical literature
Journal of Biomedical Informatics
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
Rotation-based model trees for classification
International Journal of Data Analysis Techniques and Strategies
Combining bagging, boosting, rotation forest and random subspace methods
Artificial Intelligence Review
Municipal revenue prediction by ensembles of neural networks and support vector machines
WSEAS Transactions on Computers
Municipal revenue prediction by support vector machine ensembles
ICCOMP'10 Proceedings of the 14th WSEAS international conference on Computers: part of the 14th WSEAS CSCC multiconference - Volume I
An efficient local region and clustering-based ensemble system for intrusion detection
Proceedings of the 15th Symposium on International Database Engineering & Applications
Improving on bagging with input smearing
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Comparing meta-learning algorithms
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
Boosting-based ensemble learning with penalty profiles for automatic Thai unknown word recognition
Computers & Mathematics with Applications
Improving bagging performance through multi-algorithm ensembles
PAKDD'11 Proceedings of the 15th international conference on New Frontiers in Applied Data Mining
An associative memory approach to medical decision support systems
Computer Methods and Programs in Biomedicine
Network intrusion detection system: a machine learning approach
Intelligent Decision Technologies
Detection of CAN by ensemble classifiers based on ripple down rules
PKAW'12 Proceedings of the 12th Pacific Rim conference on Knowledge Management and Acquisition for Intelligent Systems
Linear classifier combination and selection using group sparse regularization and hinge loss
Pattern Recognition Letters
A multi-tier ensemble construction of classifiers for phishing email detection and filtering
CSS'12 Proceedings of the 4th international conference on Cyberspace Safety and Security
AusDM '12 Proceedings of the Tenth Australasian Data Mining Conference - Volume 134
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