On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
The weighted majority algorithm
Information and Computation
Combining classifiers in text categorization
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
On-line prediction and conversion strategies
Machine Learning
Journal of the ACM (JACM)
Enhanced hypertext categorization using hyperlinks
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
A patent search and classification system
Proceedings of the fourth ACM conference on Digital libraries
An Evaluation of Statistical Approaches to Text Categorization
Information Retrieval
Probabilistic combination of text classifiers using reliability indicators: models and results
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Adaptive Selection of Image Classifiers
ICIAP '97 Proceedings of the 9th International Conference on Image Analysis and Processing-Volume I - Volume I
Applying data fusion methods to passage retrieval in QAS
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
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In this paper we explore the effectiveness of combining diverse machine learning based methods to categorize patent applications. Classifiers are constructed from each categorization method in the combination, based on the document representations where the best performance was obtained. Therefore, the ensemble of methods makes categorization predictions with knowledge observed from different perspectives. In addition, we explore the application of a variety of combination techniques to improve the overall performance of the ensemble of classifiers. In our experiments a refined version of the WIPO-alpha document collection was used to train and evaluate the classifiers. The combination ensemble that achieved the best performance obtained an improvement of 6.51% compared to the best performing classifier participating in the combination.