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Published in:
2017 | OriginalPaper | Chapter
6. Co-operative and Collective Learning for Creative ML
Author : Parag Kulkarni
Published in: Reverse Hypothesis Machine Learning
Publisher: Springer International Publishing
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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.