Unverified50% confidenceFactExact time
A Markov chain describes a sequence of states in which each state depends only on the previous state and not on earlier history; this property is called the Markov property.
1
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50%
Confidence
Long-term
Relevance
10/26/2026
First Seen
Sources
Diffusion Models for Beginners: From DDPM Principles to UNet in Practice
bilibili唐宇迪的AI课堂10/9/2026
Related Entities
Related Claims
UnverifiedA Markov chain describes a stochastic process with the memoryless property, where the next state of the system depends only on the current state and not on the historical path.75% similarUnverifiedThe forward process of a diffusion model is a Markov chain, where each state depends only on the previous state.73% similarUnverifiedThe Markov property holds that the future state of a system depends only on the current state and the action taken, and is independent of the historical sequence of states.69% similarUnverifiedA state machine is a computational model composed of a finite number of states and transition rules between them; the system is in exactly one definite state at any moment and only transitions when specific conditions are met.67% similarUnverifiedForward invariance means that if the system starts from any state within a set and its subsequent trajectory never leaves that set, the set is called a forward invariant set.67% similar
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