Do you know what impact "Multi-labelled classification using maximum entropy method" had on the scientific community? Find out.

Semantic Scholar team at semanticscholar.org
Thu Jun 16 23:28:27 UTC 2016


https://www.semanticscholar.org?utm_medium=email&utm_campaign=total-citations-paper-20160616&utm_source=paper-with-total-citations&utm_content=header-s2-1&utm_term=freebsd-sparc64%40freebsd.org&email=freebsd-sparc64%40freebsd.orgHi ,
Your paper “Multi-labelled classification using maximum entropy method” is now on Semantic Scholar and has 220 citations and a wealth of additional statistics and metadata produced by our software.

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See Paper Details https://www.semanticscholar.org/paper/Multi-labelled-classification-using-maximum-Zhu-Ji/4454b671577ae3f3e270fdd4e09a81e421438d5b?utm_medium=email&utm_campaign=total-citations-paper-20160616&utm_source=paper-with-total-citations&utm_content=main-cta-1&utm_term=freebsd-sparc64%40freebsd.org&email=freebsd-sparc64%40freebsd.org
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What is Semantic Scholar?
Semantic Scholar https://www.semanticscholar.org?utm_medium=email&utm_campaign=total-citations-paper-20160616&utm_source=paper-with-total-citations&utm_content=inline-s2-1&utm_term=freebsd-sparc64%40freebsd.org&email=freebsd-sparc64%40freebsd.org is a state-of-the-art academic search engine enabling researchers to “cut through the clutter” and find relevant academic publications faster. The site combines a targeted ranking function with custom extraction techniques enabling features like easy access to the figures in a document and the ability to quickly identify highly influential citations and references.

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