Extreme Learning Machines 2013: Algorithms and Applications (Adaptation, Learning, and Optimization)
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Neurocomputing - ScienceDirect.com Highlights Ensemble learning methods are used to perform variable ranking and selection. Output smearing technique is employed to build a variable selection ... ETD Collection for University of Texas El Paso ... Dissertations & Theses from 2016. Aalipur Hafshejani Behzad (2016) A new test for the mean vector in high dimensional setting . Abdoh Hussein Ali Ahmad (2016 ... ACM Webinars - ACM Learning Center ACM Learning Webinars. ACM keeps you at the cutting edge of the latest technical and technological developments with our ACM Learning Webinar series. Doctoral Dissertations Available from Proquest ... Submissions from 2014. Amoroso Jon William (2014) Reactive Probes for Manipulating Polyketide Synthases and Photoreactive Probes for Strained Alkyne Click Chemistry Deep learning - Wikipedia Deep learning (also known as deep structured learning hierarchical learning or deep machine learning) is a branch of machine learning based on a set of algorithms ... Mining knowledge-sharing sites for viral marketing Viral marketing takes advantage of networks of influence among customers to inexpensively achieve large changes in behavior. Our research seeks to put it on a firmer ... Face recognition - Association for Computing Machinery As one of the most successful applications of image analysis and understanding face recognition has recently received significant attention especially during the ... Accepted Papers ICML New York City We show how deep learning methods can be applied in the context of crowdsourcing and unsupervised ensemble learning. First we prove that the popular model of Dawid ... Dissertations and Master's Theses (Campus Access ... Dissertations from 2016. Aljutayli Abdullah (2016) Effect of disease state on human carboxylesterase 1 expression and activity . Anaya-Archila Nelson M (2016 ... Artificial intelligence - Wikipedia Artificial intelligence (AI) is intelligence exhibited by machines. In computer science an ideal "intelligent" machine is a flexible rational agent that perceives ...
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