释义 |
Markovian, a.|mɑːˈkəʊvɪən| [f. prec. + -ian.] Having the Markov property.
1950W. Feller Introd. Probability Theory I. xv. 338 Examples of non-Markovian processes... Let X(n) equal 1 or 0 according to whether the nth drawing [from the urn] results in a black or a red ball. The sequence {ob}X(n){cb} is not a Markov process. 1965N. Chomsky Aspects of Theory of Syntax ii. 89 A derivation involving only phrase structure rules (rewriting rules) has a strict ‘Markovian’ character. That is, in a derivation consisting of the successive lines σ1,{ddd}, σn.., the rules that can be applied to form the next line σn+1 are independent of σ1,.., σn - 1 and depend completely on the string σn. 1972Nature 3 Mar. 20/2 To render the process Markovian, we have assumed exponential distributions of division times for both normal and abnormal cells. |