Machine Learning
284 views
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
K-Means
Partitioning data into k clusters by updating centroids
Gradient Descent
Optimization algorithm minimizing loss by steepest descent
Markov Chain
Stochastic model where events depend only on previous state
AdaBoost
Combining weak classifiers with adaptive sample weighting
DBSCAN
Density-based clustering finding clusters of varying shapes
XGBoost
Optimized gradient boosting library for structured data