Machine Learning
144 views
Gaussian Mixture Model
Quick Definition
Probabilistic model using multiple Gaussian distributions
Full Definition
A probabilistic model assuming data is generated from a mixture of several Gaussian distributions with unknown parameters.
Examples
clustering, density estimation, anomaly detection
Related Terms
clustering
unsupervised-learning
More Machine Learning Terms
Dropout
Regularization randomly deactivating neurons during training
Boosting
Sequentially combining weak learners correcting previous errors
Decision Tree
Tree-like model splitting data based on feature values
Bias-Variance Tradeoff
The tension between model simplicity and complexity errors
Ridge Regression
Regularized regression using L2 penalty to prevent overfitting
Confusion Matrix
Table visualizing classifier performance by class predictions