Discriminative Elastic-Net Regularized Linear Regression

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Genomic selection using regularized linear regression models: ridge regression, lasso, elastic net and their extensions

BACKGROUND Genomic selection (GS) is emerging as an efficient and cost-effective method for estimating breeding values using molecular markers distributed over the entire genome. In essence, it involves estimating the simultaneous effects of all genes or chromosomal segments and combining the estimates to predict the total genomic breeding value (GEBV). Accurate prediction of GEBVs is a central...

متن کامل

Robust Elastic Net Regression

We propose a robust elastic net (REN) model for high-dimensional sparse regression and give its performance guarantees (both the statistical error bound and the optimization bound). A simple idea of trimming the inner product is applied to the elastic net model. Specifically, we robustify the covariance matrix by trimming the inner product based on the intuition that the trimmed inner product c...

متن کامل

Elastic net orthogonal forward regression

An efficient two-level model identification method aiming at maximising a model's generalisation capability is proposed for a large class of linear-in-the-parameters models from the observational data. A new elastic net orthogonal forward regression (ENOFR) algorithm is employed at the lower level to carry out simultaneous model selection and elastic net parameter estimation. The two regularisa...

متن کامل

An Elastic Net Orthogonal Forward Regression Algorithm

In this paper we propose an efficient two-level model identification method for a large class of linear-in-the-parameters models from the observational data. A new elastic net orthogonal forward regression (ENOFR) algorithm is employed at the lower level to carry out simultaneous model selection and elastic net parameter estimation. The two regularization parameters in the elastic net are optim...

متن کامل

Regularized discriminative clustering

A generative distributional clustering model for continuous data is reviewed and methods for optimizing and regularizing it are introduced and compared. Based on pairs of auxiliary and primary data, the primary data space is partitioned into Voronoi regions that are maximally homogeneous in terms of auxiliary data. Then only variation in the primary data associated with variation in the auxilia...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: IEEE Transactions on Image Processing

سال: 2017

ISSN: 1057-7149,1941-0042

DOI: 10.1109/tip.2017.2651396