Sentence examples for independency among from inspiring English sources

This paper proposes an efficient new approach to the classical ECOC design in order to improve independency among classifiers.

Also, the fifth equation derives from the independency among the transmit channels.

The frame-level interpolation filter avoids redundant execution that occurs in the RD optimization process and enables parallel process with independency among neighboring blocks.

IVA utilizes not only the statistical independency among different sources, but also the statistical inner dependency of each source vector in the optimization procedure [16].

where is a function that assumes value 0 for, 1 for and in 0. Because of independency among the variables, we can calculate the probability that variables fall in the interval, which is. From now on, we will indicate with the difference.

Even so, we tested for non-random spatial distribution of mean anomalies across Iberian populations using spatial autocorrelation analyses [43] to reassure independency among sampled populations.

The flickering segment was designed with fixed duration of 3 s whereas the resting segment was chosen randomly within 15 20 s to create the mutual independencies among different flickering sequences.

Then, the BN estimates the following set of posterior probabilities (degrees of belief), making use of all the pre-computed conditional probabilities and the defined local independencies among the random variables of G : P ( C L j i = T r u e ∣ W i ), for 1 ≤ j ≤ J.

A generative model consists of (1) a structure, a directed acyclic graph where nodes correspond to variables and missing arcs specify probabilistic independencies among the variables, and (2) a set of conditional probability distributions, one distribution for each node.

It has developed a novel scoring scheme to measure the reliability of each DDI by considering their prediction scores, independencies among the twenty datasets, and the confidence levels of each prediction method in the datasets.

A consequence of using the Bayesian network structure is that it represents certain conditional independencies among non-neighboring nodes [ 45], such that the joint distribution of the set of network variables can be simply calculated as: (2) Pr F 1, …, F d, L 1, …, L q = ∏ i = 1 d Pr F i | Pa (F i ) × ∏ j = 1 q Pr L j | Pa LL j ).