Nota: A tradução desta entrada está atualmente em revisão de qualidade, portanto parte do conteúdo é exibida temporariamente apenas em inglês.
Este verbete ainda não foi traduzido para o seu idioma, portanto o original é exibido abaixo.
Markov chain
This term is a technical expression used primarily in mathematics, statistics, and computer science. It describes a specific type of random process where the future state depends only on the current state, not on the sequence of events that preceded it. This characteristic is known as the memoryless property.
In practical application, it is frequently used in algorithms like PageRank for web searching or in natural language processing for predicting the next word in a sequence. Because it is a specialized scientific term, it is almost exclusively found in academic, technical, or professional contexts rather than in casual conversation.
Meanings
Examples
A markov chain is a stochastic model where the future state depends only on the current state.
I am using a markov chain to generate random text that mimics the author's style.
The professor explained how a markov chain can be used to model weather patterns.
Can we represent this sequence of events as a simple markov chain?
The system transitions between states according to the rules of a markov chain.
I wonder if a markov chain could predict the next move in this game.
The algorithm implements a markov chain to sample from the posterior distribution.
We need to define the transition matrix for our markov chain before running the simulation.