Titlebook: Machine Learning and Knowledge Discovery in Databases; European Conference, Toon Calders,Floriana Esposito,Rosa Meo Conference proceedings

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Conic Multi-task Classificationwill be referring to as Average MTL. However, a more general framework, referred to as Conic MTL, can be formulated by considering conic combinations of the objective functions instead; in this framework, Average MTL arises as a special case, when all combination coefficients equal 1. Although the a

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Bi-directional Representation Learning for Multi-label Classificationarns a low-dimensional mid-level representation for multi-label classification. Unlike traditional multi-label learning methods which identify intermediate representations from either the input space or the output space but not both, the mid-level representation in our model has two complementary pa

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Optimal Thresholding of Classifiers to Maximize F1 Measureon. The harmonic mean of precision and recall, the F1 measure is widely used to evaluate the success of a binary classifier when one class is rare. Micro average, macro average, and per instance average F1 measures are used in multilabel classification. For any classifier that produces a real-valued

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Hierarchical Latent Tree Analysis for Topic Detection However, high frequency words in one topic may be also used with high frequency in other topics. Thus they may not be the best words to characterize the topic. In this paper, we propose a new method for topic detection, where a topic is determined by identifying words that appear with high frequenc

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e 20th century (.), lentiviruses were considered as rather mysterious viruses until the isolation of the human immunodeficiency virus type 1 (HIV-1) occurred at the beginning of 1980s. Lentiviruses are enveloped viruses carrying two copies of single-strand positive (i.e., codifying) RNA and are cons

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