Multi-armed bandit
Definition
The multi-armed bandit problem illustrates the dilemma faced by an agent deciding whether …
Probability
Kernel density estimation
Definition
Kernel Density Estimation (KDE) is a fundamental statistical technique that smooths …
Inductive Probability
Definition
Inductive probability quantifies how likely a hypothesis is true given observed evidence, …
Flow-based generative model
Definition
Flow-based generative models construct complex probability distributions by applying a …
Energy-based model
Definition
Energy-Based Models (EBMs) define a probability distribution over input data using an …
Bradley–Terry model
Definition
The Bradley-Terry model is a probabilistic model widely used in psychometrics and machine …
Base rate
Definition
In statistics and machine learning, the base rate refers to the underlying frequency of a …
Wasserstein
Definition
The Wasserstein distance, also known as Earth Mover’s Distance, quantifies the …
Stochastic
Definition
Stochastic elements introduce variability into AI systems, such as noise in data or …
Prior
Definition
A ‘prior’ represents existing beliefs or historical data regarding a variable …
Markov
Definition
In artificial intelligence and probability theory, Markov processes are fundamental …
Gaussian
Definition
Gaussian refers to the normal distribution, a continuous probability distribution …
Bayesian
Definition
Bayesian approaches in AI use probability theory to update the likelihood of hypotheses …