Remove 2017 Remove Data Science Remove Support Vector Machines
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NLP-Powered Data Extraction for SLRs and Meta-Analyses

Towards AI

Over the past several years, researchers have increasingly attempted to improve the data extraction process through various ML techniques. That’s great news for researchers who often work on SLRs because the traditional process is mind-numbingly slow: An analysis from 2017 found that SLRs take, on average, 67 weeks to produce.

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Calibration Techniques in Deep Neural Networks

Heartbeat

International conference on machine learning. PMLR, 2017. [2] Support vector machine classifiers as applied to AVIRIS data.” arXiv preprint arXiv:1710.09412 (2017). [7] We’re committed to supporting and inspiring developers and engineers from all walks of life. Anthony, et al.