shrinkage-methods

There are 6 repositories under shrinkage-methods topic.

  • carrierlxk/py-DSLT

    pytorch implementation of Shrinkage loss in our ECCV paper 2018: Deep regression tracking with shrinkage loss

    Language:Python16243

  • himelmallick/bsmTutorial

    This repository houses the analysis codes from the Bayesian preclinical tutorial paper led by the DIA/ASA-BIOP Nonclinical Bayesian Working Group members.

    Language:R2100

  • bgonzalezbustamante/demo-regularisation

    Regularisation and Cross-Validation of Determinants of Egalitarian Democracy: Demonstration for R

    Language:R1119

  • gleday/shrinkage

    Bayesian regression with shrinkage priors

    Language:R0200

  • AdityaTheDev/RedWineQuality-using-Various-Regressions

    Prediction of red wine quality using various regressions. I found this dataset online(UCI). I have implemented various regression such as Linear regression, Stochastic Gradient Descent Regression and Shrinkage methods such as Ridge regression, Lasso Regression, ElasticNet regression. All these regression methods have found the right solution. This project is purely done to experiment various regression methods

    Language:Jupyter Notebook10

  • Architectshwet/Statistical-Learning-using-R

    Statistical Learning application of different machine learning algorithms on dataset and their implementation in R covering model selection techniques, shrinkage Methods and Regularization techniques, different non linear models, re-sampling methods and Cross Validation, boosting, trees, supervised learning & Unsupervised learning

    Language:R10