1.0Microsoft Researchhttps://www.microsoft.com/en-us/researchManik Varmahttps://www.microsoft.com/en-us/research/people/manik/Extreme Classification in Healthcare - Microsoft Researchrich600338<blockquote class="wp-embedded-content" data-secret="Cm0Wyrtj87"><a href="https://www.microsoft.com/en-us/research/video/extreme-classification-in-healthcare/">Extreme Classification in Healthcare</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/video/extreme-classification-in-healthcare/embed/#?secret=Cm0Wyrtj87" width="600" height="338" title="“Extreme Classification in Healthcare” — Microsoft Research" data-secret="Cm0Wyrtj87" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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https://www.microsoft.com/en-us/research/wp-content/uploads/2017/12/40243.jpg1280715Extreme classification is a rapidly growing research area focusing on multi-class and multi-label problems involving an extremely large number of labels. Many applications have been found in diverse areas ranging from language modeling to document tagging in NLP, face recognition to learning universal feature representations in computer vision, gene function prediction in bioinformatics, etc. Extreme […]