Titlebook: Learning with Partially Labeled and Interdependent Data; Massih-Reza Amini,Nicolas Usunier Book 2015 Springer International Publishing Swi

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Introduction,a computer to perform tasks without being explicitly programmed to do them. Learning in this context is hence to recognize complex forms and to make intelligent decisions. Given all existing entries, the difficulty of this task lies in the fact that all possible decisions is usually very complex to

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Semi-Supervised Learning,methods. We particularly consider the margin as an indicator of confidence which constitutes the working hypothesis of algorithms that search the decision boundary on low density regions. Following this assumption, we present a bound over the error probability of the voted classifier on the examples

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Learning with Interdependent Data, the examples to classify cannot be assumed to be independently sampled from a fixed distribution. This work is motivated by the statistical analysis of algorithms for learning to rank, which can be reduced to the binary classification of interdependent pairs of objects. We describe two different fo

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Massih-Reza Amini,Nicolas Usuniern of listening over the last ten years, highlighting a shift that moves listening to a broader understanding of musical experience. Eminent writers such as Steven Connor (2001), Jean-Luc Nancy (2002), Jonathan Sterne (2003), Michael Bull and Les Back (2003), Veit Erlmann (2004), Eric Clarke (2005),

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Massih-Reza Amini,Nicolas Usunieronsciously, builds the superstructure of ‘human rights’. It explores how the law understands the concept of a human being, and hence a person who is entitled to human rights. This involves a discussion of the legal treatment of those of so-called "marginal personhood" (e.g. high functioning non-huma

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