markoff chain Antonyms
No Synonyms and anytonyms found
Meaning of markoff chain
Wordnet
markoff chain (n)
a Markov process for which the parameter is discrete time values
markoff chain Sentence Examples
- Markov chain analysis is a technique used to model sequential events by assuming that the probability of the next event depends only on the current event.
- The sequence of events in a Markov chain is called a Markov process.
- Markov chains are named after the Russian mathematician Andrey Markov, who developed the theory in the early 20th century.
- Markov chains have applications in various fields, including machine learning, natural language processing, and finance.
- In machine learning, Markov chains are used for language modeling and sequence generation.
- In natural language processing, Markov chains are used for part-of-speech tagging and text segmentation.
- In finance, Markov chains are used for modeling stock prices and forecasting market trends.
- Hidden Markov models (HMMs) are a type of Markov chain that is used to model hidden states that are not directly observable.
- Markov chains can be used to generate random walks, which are simulations of random movements in a space.
- Markov chain Monte Carlo (MCMC) methods are used to sample from complex distributions by constructing a Markov chain that has the desired distribution as its stationary distribution.
FAQs About the word markoff chain
a Markov process for which the parameter is discrete time values
No synonyms found.
No antonyms found.
Markov chain analysis is a technique used to model sequential events by assuming that the probability of the next event depends only on the current event.
The sequence of events in a Markov chain is called a Markov process.
Markov chains are named after the Russian mathematician Andrey Markov, who developed the theory in the early 20th century.
Markov chains have applications in various fields, including machine learning, natural language processing, and finance.
