Machine Learning
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Hidden Markov Model
Quick Definition
Statistical model with hidden states and observable outputs
Full Definition
A statistical model where the system state is hidden but observable through emitted symbols with probabilistic transitions.
Examples
speech recognition, bioinformatics, POS tagging
Related Terms
markov-chain
sequence-modeling
More Machine Learning Terms
Model Selection
Choosing the best ML model from candidates
Kernel Trick
Transforming data to higher dimensions for linear separability
Gaussian Mixture Model
Probabilistic model using multiple Gaussian distributions
Active Learning
Algorithm selecting most informative data points for labeling
PCA
Statistical technique reducing dimensionality via principal components
Multi-Task Learning
Training one model for multiple related tasks simultaneously