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Sparse regression such as the Lasso has achieved great success in handling high-dimensional data. However, one of the biggest practical problems is that high-dimensional data often contain large amounts of missing values. Convex Conditioned Lasso (Co
Externí odkaz:
http://arxiv.org/abs/1811.00255
Publikováno v:
International Journal of Data Science & Analytics; Sep2019, Vol. 8 Issue 2, p137-164, 28p
Autor:
Nakatsugawa, Minoru1 minoru.nakatsugawa@toshiba.co.jp, Nishikawa, Takeichiro1, Shingaki, Ryusei1
Publikováno v:
Journal of the Operations Research Society of Japan. Sep2011, Vol. 54 Issue 2/3, p124-139. 16p.
Autor:
Nishikawa, Takeichiro
Publikováno v:
Asia-Pacific Financial Markets; Jun2002, Vol. 9 Issue 2, p101-126, 26p