Model verification, validation, and error analysis
Official implementation of MSR-GCN (ICCV2021 paper)
Machine learning utility functions and classes.
Detection of Object-Based Forgery in Advanced Video
Clean up Windows software uninstall residual files. 清理Windows软件卸载残留。
Surrogate residuals for cumulative link and general regression models in R
In this notebook, I've loaded historical Dollar-Yen exchange rate futures data. I've applied time series analysis and modeling to determine whether there is any predictable behavior.
R package for residualizing covariates
Predicting Delivery Time Using Sorting Time
Used linear regression model to train and test the data, evaluated the model performance by calculating the residual sum of squares and the explained variance score (R^2).
使用AIC准则进行参数选择，之后采用ARIMA模型进行时间序列预测，最后给出残差图。The AIC criterion is used to select the parameters, and then ARIMA model is used to predict the time series. Finally, the residual diagram is given.
analysis of contingency tables and their residuals, with a bootstrap correction for multiple testing
Prediction of Delivery Time of newspapers using Sorting Time
Linear Regression to identify the important physicochemical properties of the substrate that influence the aerial biomass production in the Cape Fear Estuary.
Linear regression is also a type of machine-learning algorithm more specifically a supervised machine-learning algorithm that learns from the labeled datasets and maps the data points to the most optimized linear functions.
Diagnostic tools for regression modeling. Julia-equivalent for diagnoser (https://github.com/robertschnitman/diagnoser).
Performed linear regression and residuals analysis on college tuition fees and admission rate in R.
University group project concerning the sensorless estimation of the contact forces between a needle mounted on the end-effector of a robot manipulator and a penetrated tissue, and subsequent prediction of layer ruptures using Recursive Least Squares algorithm.
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