Sentence examples similar to is the conditional variable from inspiring English sources

Formally, a Bayesian network is defined to be a pair (G, ΘG) where G is a directed acyclic graph whose vertices are random variables Pi and ΘG is the conditional distribution for each variable given its parents: Pb(Pi | Pa(Pi)), where Pa(Pi) denotes the set of all parents of Pi in the graph.

Placing this into a formal context, a Bayesian Network is defined to be a pair (G, θ) where G is a directed acyclic graph (DAG) whose vertices are random variables X1,..., X n and θ is the conditional distribution for each variable given its parents P(X i | Parents(X i )).

The formula for information gain is: where H(Class) is the entropy of the class variable, and H(Class|Feature) is the conditional entropy of the class variable, given the feature.

The joint distribution of the variables is the conditional Gaussian distribution, which has the following form: begin{aligned} p {y / X})=N {0,K( {X,X})+sigma ^2I}), end{aligned} (2 where I is the identity matrix, and K( X, X) the covariance matrix, also referred to as the kernel matrix, with elements (K_{ij} ( {x_i,x_j })).

The age-group, diabetes status, presence of CAC at baseline, and sex were included as the conditional variables to account for the matching.

This fundamental characteristic of the multiple regression model has also inspired the conditional variable importance measure for RF, which is discussed in section 'Conditional variable importance measure'.

In the former, the parameters of interest are the conditional probabilities associated with each variable, usually represented as conditional probability tables; in the latter, the parameters of interest are the partial correlation coefficients between each variable and its neighbours (i.e. the adjacent nodes in G ).

where and E Y i g h r t | ln O B B I R T H r t, I n f o i g h r t, W are the conditional means of the dichotomous dependent variable Y ighrt, ϕ is the probability density function of the standard normal distribution, and the vector W represents all exogenous right hand side variables.

The conditional variables are residuals from site- and sex-specific linear regression models.

The conditional variables were estimated for the periods: birth-2 year, 2 year-Mid-childhood (MC) and MC-adulthood.

A decision tree is a binary tree whose non-terminal nodes are conditional variables and whose terminal nodes are actions to be performed.