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

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令人不快

Massih-Reza Amini,Nicolas Usunierr its own sake may not be the PRC’s fundamental political vision, but multiculturalism with Chinese characteristics in this region until today has achieved a relative success and will remain to be considered a best policy option for this region’s further prosperity at the lowest cost.

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cized transnationalism. In this process, the “desirable” minority citizen has changed from a socialist worker (or agriculturally dexterous farmer) and territorial border keeper (a communist warrior) to an efficient capitalist econmic agent (trader). A diaspora’s nationalism continuously requires ren

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業(yè)余愛好者

Learning with Partially Labeled and Interdependent Data978-3-319-15726-9

Living-Will

精確

Book 2015ns, primarily web related, that transgress the classical machine learning framework through learning with interdependent data. .The book traces how the semi-supervised paradigm and the learning to rank paradigm emerged from new web applications, leading to a massive production of heterogeneous textu

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退潮

Learning with Interdependent Data,on-i.i.d. data, we prove generic generalization error bounds based on an extension of the Rademacher complexity, and show how this generic bound can be specialized to different cases of learning to rank.

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