例句與造句

1. This structure shows which two variables are conditionally independent.
2. Because y _ t is conditionally independent of everything but x _ t, and x _ t is conditionally independent of everything but x _ { t-1 }, this simplifies to
3. Because y _ t is conditionally independent of everything but x _ t, and x _ t is conditionally independent of everything but x _ { t-1 }, this simplifies to
4. Every set of nodes in the network is conditionally independent of A when conditioned on the set \ partial A, that is, when conditioned on the Markov blanket of the node A.
5. For example, given a Bayes network with a set of conditionally independent identically distributed Poisson-distributed nodes causes the conditional distribution of one node given the others to assume a negative binomial distribution.
6. It's difficult to find conditionally independent in a sentence. 用conditionally independent造句挺難的
7. But given s and a, it is conditionally independent of all previous states and actions; in other words, the state transitions of an MDP process satisfies the " Markov property ".
8. Considering observations in the form of co-occurrences ( w, d ) of words and documents, PLSA models the probability of each co-occurrence as a mixture of conditionally independent multinomial distributions:
9. An MEMM is a discriminative model that extends a standard maximum entropy classifier by assuming that the unknown values to be learnt are connected in a Markov chain rather than being conditionally independent of each other.
10. Now the " naive " conditional independence assumptions come into play : assume that each feature F _ i is conditionally independent of every other feature F _ j for j \ neq i, given the category C.
11. The mean field particle interpretation of this Feynman-Kac model is defined by sampling sequentially " N " conditionally independent random variables \ xi ^ { ( N, i ) } _ { n + 1 } with probability distribution
12. On the other hand, if the random variables are continuous and have a joint probability density function " p ", then " X " and " Y " are conditionally independent given " Z " if
13. Two random variables " X " and " Y " are conditionally independent given a third random variable " Z " if and only if they are independent in their conditional probability distribution given " Z ".
14. The independence asserted here is " conditional " independence, i . e ., the Bernoulli random variables in the sequence are conditionally independent given the event that " p " = 2 / 3, and are conditionally independent given the event that " p " = 9 / 10.
15. The independence asserted here is " conditional " independence, i . e ., the Bernoulli random variables in the sequence are conditionally independent given the event that " p " = 2 / 3, and are conditionally independent given the event that " p " = 9 / 10.
16. Then X _ 1, X _ 2, X _ 3, \ ldots are conditionally independent and identically distributed given the exchangeable sigma-algebra ( i . e ., the sigma-algebra of events measurable with respect to X _ 1, X _ 2, \ ldots and invariant under finite permutations of the indices ).
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