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Co-operative and Collective Learning for Creative ML

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Reverse Hypothesis Machine Learning

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 128))

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Abstract

Crowdsourcing is a form of collective learning. Learning collectively refers to getting together to solve problem and learn from each other’s experience. One of the basic forms is collecting information or solutions from more than one intelligent agent. This is referred to as crowdsourcing. Ensemble learning is a concept where there is an ensemble of learners and based on algorithm it is used. Ensemble learner has more than one learner—even boosting is a concept where more than one learner is learning. Sometimes a set of weak classifiers is used for building strong classifier.

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Correspondence to Parag Kulkarni .

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Kulkarni, P. (2017). Co-operative and Collective Learning for Creative ML. In: Reverse Hypothesis Machine Learning . Intelligent Systems Reference Library, vol 128. Springer, Cham. https://doi.org/10.1007/978-3-319-55312-2_6

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  • DOI: https://doi.org/10.1007/978-3-319-55312-2_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-55311-5

  • Online ISBN: 978-3-319-55312-2

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