transition probability वाक्य
उदाहरण वाक्य
मोबाइल
- With this option, it is possible to estimate the transition probabilities of n-grams involving out-of-vocabulary words.
- The likelihood of a phylogeny is computed from a nested sum of transition probabilities that corresponds to the hierarchical structure of the proposed tree.
- Let X be a finite set and let K ( x, y ) be the transition probability for a reversible Markov chain on X.
- This requirement is quite restrictive as a linear change will not, in general, be the optimal profile to achieve the desired transition probability.
- In addition, there is no need for transition probabilities as a result of the fact that context information is encoded within the context profiles.
- This is valid for every bond configuration the system can pass through during its evolution, so detailed balance is satisfied for the total transition probability.
- Because any one transition probability can be determined once the others are known, there are a total of N ( N-1 ) transition parameters.
- The transition probability matrix can be derived for endogenous vs . acquired genes, from which Bayesian posterior probabilities for particular stretches of DNA can be obtained.
- Reinforcement learning can solve Markov decision processes without explicit specification of the transition probabilities; the values of the transition probabilities are needed in value and policy iteration.
- Reinforcement learning can solve Markov decision processes without explicit specification of the transition probabilities; the values of the transition probabilities are needed in value and policy iteration.
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