An Efficient Algorithm for Computing the HHSVM and Its Generalizations
58 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing
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Citations in the corpus
- High-dimensional generalizations of asymmetric least squares regression and their applications (2016, methodology): “The Lasso is computationally attractive and can be solved by efficient algorithms such as the LARS [Efron et al. (2004)], the coordinate descent method [Friedman, Hastie and Tibshirani (2010)] and the generalized coordinate descent algorithm [Yang and Zou (2013)].”