Statistical Models
Explore 7 AI terms in Statistical Models
Constrained conditional model
CCMA Constrained Conditional Model predicts outcomes while adhering to specific constraints or rules.
Dirichlet Process
DPA Dirichlet Process is a statistical model used in Bayesian nonparametrics for clustering and density estimation.
Exponential Family
The Exponential Family is a group of probability distributions defined by a specific mathematical form.
Hidden State
HSA hidden state in AI refers to unobservable variables that influence a model's predictions.
Inside-Outside Algorithm
IOAA computational method for evaluating and training probabilistic models in natural language processing.
Maximum Entropy Model
MaxEntA statistical model that predicts outcomes by maximizing entropy subject to constraints from observed data.
N-gram Model
N-gramAn N-gram model predicts the likelihood of a sequence of words by analyzing n-length sequences.