Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions

By N. Deng, Ying-jie Tian, Chunhua Zhang. 2012

331 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/8c33ce49b3be58709f86cdfe9047c686c36d95e4

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In Control and Systems Engineering

1. Ying-jie Tian

Citations in the corpus

• Gaia Data Release 2 (2018, methodology): “We experimented with other machine learning algorithms, such as support vector machine (SVM) regression (e.g. Deng et al. 2012) and Gaussian processes (e.g. Bishop 2006), but we found EXTRATREES to be much faster (when training is also considered), avoid the high sensitivity of SVM tuning, and yet…”
• A Comprehensive Survey of Loss Functions in Machine Learning (2020, background): “For details of this algorithm, you can refer to [41].”