![Artificial intelligence / Linear classifier / Supervised learning / Random forest / Crowdsourcing / Feature selection / Support vector machine / Binary classification / Boosting methods for object categorization / Statistics / Machine learning / Statistical classification Artificial intelligence / Linear classifier / Supervised learning / Random forest / Crowdsourcing / Feature selection / Support vector machine / Binary classification / Boosting methods for object categorization / Statistics / Machine learning / Statistical classification](https://www.pdfsearch.io/img/7ab1745756ecfba52c7221fc888ec1a4.jpg) Date: 2014-11-14 13:59:31Artificial intelligence Linear classifier Supervised learning Random forest Crowdsourcing Feature selection Support vector machine Binary classification Boosting methods for object categorization Statistics Machine learning Statistical classification | | Flock: Hybrid Crowd-Machine Learning Classifiers Justin Cheng and Michael S. Bernstein Stanford University {jcccf, msb}@cs.stanford.edu ABSTRACTAdd to Reading ListSource URL: hci.stanford.eduDownload Document from Source Website File Size: 769,46 KBShare Document on Facebook
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