A training algorithm for optimal margin classifiers
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Empirical methods for artificial intelligence
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Machine Learning
Error reduction through learning multiple descriptions
Machine Learning
A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
The Random Subspace Method for Constructing Decision Forests
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Principles of data mining
Neural Networks for Pattern Recognition
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Machine Learning
Mastering Data Mining: The Art and Science of Customer Relationship Management
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Ensembling neural networks: many could be better than all
Artificial Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
UAI '88 Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence
Combining Pattern Classifiers: Methods and Algorithms
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In Defense of One-Vs-All Classification
The Journal of Machine Learning Research
Data Mining and Knowledge Discovery
Ensemble Pruning Via Semi-definite Programming
The Journal of Machine Learning Research
Top 10 algorithms in data mining
Knowledge and Information Systems
Solving multiclass learning problems via error-correcting output codes
Journal of Artificial Intelligence Research
A decision rule-based method for feature selection in predictive data mining
Expert Systems with Applications: An International Journal
DaWaK'11 Proceedings of the 13th international conference on Data warehousing and knowledge discovery
Using OVA modeling to improve classification performance for large datasets
Expert Systems with Applications: An International Journal
Learning intrusion detection: supervised or unsupervised?
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Using attack-specific feature subsets for network intrusion detection
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Nearest neighbor pattern classification
IEEE Transactions on Information Theory
Positive-versus-Negative Classification for Model Aggregation in Predictive Data Mining
INFORMS Journal on Computing
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Model aggregation is the process of constructing several base models that are then combined into a single model for prediction. Ensemble classification has been studied by many researchers and found to provide significant performance improvements over single models. This paper presents a new base model combination algorithm for K-nearest neighbor KNN ensemble models based on One-Versus-All OVA classification. The proposed algorithm uses two decision functions to determine the best prediction among the many predictions provided by the base models. It is demonstrated in this paper that tied or conflicting predictions can be effectively resolved when a probabilistic function and a distance function are used by a combination algorithm for OVA KNN base model predictions. The resolution of tied predictions leads to improvements in predictive performance.