Titlebook: Machine Learning and Knowledge Discovery in Databases; European Conference, José Luis Balcázar,Francesco Bonchi,Michèle Sebag Conference pr

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A Unified Approach to Active Dual Supervision for Labeling Features and Examplestation. Traditional active learning schemes query a human for labels on intelligently chosen examples. However, human effort can also be expended in collecting alternative forms of annotation. For example, one may attempt to learn a text classifier by labeling words associated with a class, instead

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Vector Field Learning via Spectral Filteringthe kernel matrix. These methods include Tikhonov regularization as a special case, as well as interesting alternatives such as vector valued extensions of L2-Boosting. Our theoretical and experimental analysis shows that spectral filters that yield iterative algorithms, such as L2-Boosting, are muc

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Weighted Symbols-Based Edit Distance for String-Structured Image Classificationcription of images in order to enhance classification accuracy. Rather than being represented in a p-dimensional space, images can typically be encoded in the form of strings, trees or graphs and are usually compared either by computing suited metrics such as the (string or tree)-edit distance, or b

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