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
Markov Chain
Stochastic model where events depend only on previous state
Logistic Regression
Statistical model estimating binary outcome probabilities
Data Augmentation
Artificially increasing training data through modified copies
Unsupervised Learning
Discovering hidden patterns in unlabeled data
Margin
Distance between decision boundary and nearest data points
Self-Supervised Learning
Generating supervisory signals from unlabeled data for training