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
Boosting
Sequentially combining weak learners correcting previous errors
K-Means
Partitioning data into k clusters by updating centroids
Overfitting
When a model learns training data noise and fails on new data
DBSCAN
Density-based clustering finding clusters of varying shapes
A/B Testing
Statistical method comparing two versions for performance
Margin
Distance between decision boundary and nearest data points