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Titlebook: Advances in Intelligent Data Analysis VIII; 8th International Sy Niall M. Adams,Céline Robardet,Jean-François Bouli Conference proceedings

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Studies in Computational Intelligencechanism is thus explicitly taken into account to predict the class variable using the data at hand. Extensive experiments on synthetic and real-world incomplete data sets reveals that the . information improves classification accuracy.
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Topics in Contemporary Semioticsing medical protocols. Such developments will elevate the conference and our community by shifting our focus from arbitrary measures of the performance of isolated algorithms to the practical, societal value of intelligent data analysis systems.
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Easily Reconstructable Functions, allowing control and adjustment of the aggregation process and its result. Our experiments show that our flexible approach offers adaptive results, improved identification of structures and high useability.
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https://doi.org/10.1007/BFb0082228exity of the family of distances and avoids overfitting..The experimental results suggest that the method proposed outperforms other metric learning strategies and improves the classical .-NN algorithm based on a single dissimilarity.
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