markoff Sentence Examples
- The Markov decision process is a mathematical framework for modeling sequential decision-making under uncertainty.
- Markov chains are widely used in probabilistic modeling due to their ability to capture the Markovian property, where the future state depends only on the present state.
- The hidden Markov model is a powerful tool for modeling sequential data with unobserved states, commonly used in speech recognition and natural language processing.
- The Markov blankets of a node in a Bayesian network define its conditional independence properties.
- Markov random fields extend the Markov property to multivariate random variables, allowing for complex dependencies to be modeled.
- The Markov property is essential for understanding the behavior of many natural phenomena, such as the spread of infectious diseases.
- Markov chains can be used to generate random walks, which are helpful for simulating various processes like diffusion and search algorithms.
- The maximum entropy Markov model is a special case where the distribution over future states maximizes the entropy, assuming no prior knowledge.
- Semi-Markov processes generalize Markov processes by allowing for state transitions that depend on the time spent in each state.
- Markov logic networks combine the power of Markov random fields with the expressive language of first-order logic, enabling the representation of complex relationships between variables.
markoff Meaning
markoff (n)
Russian mathematician (1856-1922)
Synonyms & Antonyms of markoff
FAQs About the word markoff
Russian mathematician (1856-1922)
bound, limit,define,describe, demarcate, delimit, circumscribe, demark, govern, terminate
No antonyms found.
The Markov decision process is a mathematical framework for modeling sequential decision-making under uncertainty.
Markov chains are widely used in probabilistic modeling due to their ability to capture the Markovian property, where the future state depends only on the present state.
The hidden Markov model is a powerful tool for modeling sequential data with unobserved states, commonly used in speech recognition and natural language processing.
The Markov blankets of a node in a Bayesian network define its conditional independence properties.
