Abstract: Human activity recognition (HAR) plays a crucial role in human-computer interaction, smart home, health monitoring and elderly care. However, existing methods typically utilize camera, radio ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

This project predicts whether a passenger survived the Titanic disaster using supervised machine learning techniques. The problem is treated as a binary classification task where the target variable ...

Based on the six core variables identified, the 10-fold cross-validation performance of nine models, XGBoost, logistic regression, LightGBM, random forest, AdaBoost, decision tree, GBDT, Gaussian ...