MCS
2007
Springer
14 years 5 months ago
2007
Springer
The strength of classifier combination lies either in a suitable averaging over multiple experts/sources or in a beneficial integration of complementary approaches. In this paper...
MCS
2007
Springer
14 years 5 months ago
2007
Springer
In this paper we present a fusion technique for Support Vector Machine (SVM) scores, obtained after a dimension reduction with Bilateralprojection-based Two-Dimensional Principal C...
MCS
2007
Springer
14 years 5 months ago
2007
Springer
Abstract. Cluster ensembles are deemed to be better than single clustering algorithms for discovering complex or noisy structures in data. Various heuristics for constructing such ...
MCS
2007
Springer
14 years 5 months ago
2007
Springer
Abstract. This paper investigates the use of diverse data fusion methods to improve the performance of the passage retrieval component in a question answering system. Our results o...
MCS
2007
Springer
14 years 5 months ago
2007
Springer
MCS
2007
Springer
14 years 5 months ago
2007
Springer
Rotation Forest is a recently proposed method for building classifier ensembles using independently trained decision trees. It was found to be more accurate than bagging, AdaBoost...
MCS
2007
Springer
14 years 5 months ago
2007
Springer
The serial fusion of multiple biometric traits for personal identity verification has been poorly investigated so far. However, this approach exhibits some potential advantages, fo...
MCS
2007
Springer
14 years 5 months ago
2007
Springer
Abstract. A new optimization technique is proposed for classifiers fusion — Cooperative Coevolutionary Ensemble Learning (CCEL). It is based on a specific multipopulational evo...
MCS
2007
Springer
14 years 5 months ago
2007
Springer
Abstract. A new theoretical framework for the analysis of linear combiners is presented in this paper. This framework extends the scope of previous analytical models, and provides ...
MCS
2007
Springer
14 years 5 months ago
2007
Springer
Classifier combining rules are designed for the fusion of the results from the component classifiers in a multiple classifier system. In this paper, we firstly propose a theoretica...