Which of the following approaches is used to mitigate the "curse of dimensionality" in machine learning?

• A) Increasing the number of features to improve model performance
• B) Using feature selection or extraction techniques to reduce the number of dimensions
• C) Increasing the dataset size to match the number of dimensions
• D) Decreasing the learning rate to reduce model complexity