Table 1 List of acronyms for machine learning
AdaBoost | Adaptive Boosting |
AIWPSO | Adaptive Inertia Weight Particle Swarm Optimization |
BN | Bayesian Network |
BNN | Bayesian Neural Network |
BP | BackPropagation |
CALA | Continuous Action-set Learning Automata |
CART | Classification and Regression Tree |
CMAC | Cerebellar Model Articulation Controller |
DBN | Deep belief Network |
DBSCAN | Density-based Spatial Clustering of Applications with Noise |
DE | Differential Evolution |
DL | Deep Learning |
DNN | Deep Neural Network |
DQN | Deep Q-Network |
DT | Decision Tree |
EM | Expectation Maximization |
EMD | Entropy Minimization Discretization |
FALA | Finite Action-set Learning Automata |
FCM | Fuzzy C Means |
FNN | Feedforward Neural Network |
GD | Gradient Descent |
HCA | Hierarchical Clustering Analysis |
HMM | Hidden Markov Model |
HNN | Hopfield Neural Network |
ID3 | Iterative Dichotomiser 3 |
k-NN | k-Nearest Neighbor |
KDE | Kernel Density Estimation |
LDA | Linear Discriminant Analysis |
LSTM | Long Short-term Memory |
LVQ | Learning Vector Quantization |
MART | Multiple Additive Regression Tree |
MaxEnt | Maximum Entropy |
MDP | Markov Decision Process |
ML | Machine Learning |
MLP | Multi-layer Perceptron |
NB | Naïve Bayes |
NBKE | Naïve Bayes with Kernel Estimation |
NN | Neural Network |
OLS | Ordinary Least Squares |
PCA | Principal Component Analysis |
PNN | Probabilistic Neural Network |
POMDP | Partially Observable Markov Decision Process |
RandNN | Random Neural Network |
RBF | Radial Basis Function |
RBFNN | Radial Basis Function Neural Network |
RBM | Restricted Boltzman Machines |
REPTree | Reduced Error Pruning Tree |
RF | Random Forest |
RIPPER | Repeated Incremental Pruning to Produce Error Reduction |
RL | Reinforcement Learning |
RNN | Recurrent Neural Network |
SARSA | State-Action-Reward-State-Action |
SGBoost | Stochastic Gradient Boosting |
SHLLE | Supervised Hessian Locally Linear Embedding |
SLP | Single-Layer Perceptron |
SOM | Self-Organizing Map |
STL | Selt-Taught Learning |
SVM | Support Vector Machine |
SVR | Support Vector Regression |
TD | Temporal Difference |
THAID | THeta Automatic Interaction Detection |
TLFN | Time-Lagged Feedforward Neural Network |
WMA | Weighted Majority Algorithm |
XGBoost | eXtreme Gradient Boosting |