Titlebook: Vulnerabilities, Impacts, and Responses to HIV/AIDS in Sub-Saharan Africa; Getnet Tadele,Helmut Kloos Book 2013 Palgrave Macmillan, a divi

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BLAZE

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HPA533

Woldekidan Amde,Getnet Tadelee-art rule learning approaches [1], we therefore assign weights to the rules. In this way, a rule set represents a linear classifier and one can optimize . optimization criteria, essentially reducing the misclassification error on noisy data. Since we aim at comprehensible models, we employ margins

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慌張

employor

Anne A. Khasakhala,Helmut Kloos .(.|.) (where .(.|.) (.(.|.)) equals the induced (observed) probability of an instance . belonging to a class .). First experiments indicate . may be useful for prediction, and for classification in cases where the induced model should be combined with other stochastic information sources.

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Damen Haile Mariam,Helmut Kloosally-oriented muscle, cartilage, nerve, liver and other specialized cells whose activities, when integrated, form the elephant. The problem is not primarily how a muscle cell orders smaller molecules into myosin, actin, or creatine kinase, but how one group of cells is instructed to become muscle, w

Metastasis

Getnet Tadeleelligence. It consists of 400 tasks, each with very small numbers (3–5) of ‘input-output’ image pairs. It is known that the tasks are ‘human-solvable’ in the sense that, for any of the tasks, there exists a human-authored description that transforms input images in the task to the corresponding outp