All of the following are supervised learning ( ) .
A: Neural network, Gaussian process regression, decision tree
B: Decision tree, Gaussian process regression, collaborative training
C: Decision tree, support vector machine, cluster analysis
D: Decision tree, neural network, cluster analysis
A: Neural network, Gaussian process regression, decision tree
B: Decision tree, Gaussian process regression, collaborative training
C: Decision tree, support vector machine, cluster analysis
D: Decision tree, neural network, cluster analysis
举一反三
- Select the following phrases in which each one has truly been invented or used as a logical model for machine learning. A: Adaptive boosting B: Association rules C: Convolutional neural network D: Decision tree E: First-order logic F: Linear regression
- We can have a decision tree that has more than two decision per node.
- Select the following true algorithms (methods) which have been invented in machine learning? A: Abstraction B: AdaBoost C: Decision Tree D: Generalization E: Perceptron F: Random Forests
- The process to evaluate the prediction errors of a machine learning model is called ________() A: Error analysis . B: Bias analysis C: Correlation analysis D: Regression analysis
- Which<br/>of the following are supervised learning: () A: Logistic<br/>regression B: LASSO<br/>regression C: Support<br/>Vector Machine D: Spectral<br/>clustering