Sentence examples for conditional information from inspiring English sources
The descriptors contain extensive symbolic and conditional information, providing more accuracy than previously developed summary structures.
It also tracks certain preset conditional information, such as the sports scores of your favourite teams, popping up alerts when someone scores a goal or wins a race.
In order to analyze the main critical engineering factors, an information-based rough set approach that considers conditional information entropy as a measurement of information has been developed.
An algorithm for continuous attribute discretization based on conditional information entropy and an algorithm for rule extraction considering the supports of rules are proposed.
Wang, H. Hu, D. Yang, Decision table reduction based on conditional information entropy, Chinese J. Comput., 25 (2002) 1 8] cannot ensure the reduct is the minimal attribute subset which keeps the decision rule invariant in inconsistent decision systems.
The capital-constrained retailer can get an "information bonus" from late-purchasing only when its internal capital level is relatively low, so it needs a trade-off between the "conditional information bonus" and the "inevitable cost loss" brought by late-purchasing and then makes an optimal purchase timing decision.
where n is the number of variables; i.e. causal density is the average of the pairwise-conditional information flows (7) (Figure1, right-hand figure).
The set of pairwise-conditional information flows may be viewed as a weighted, directed graph, the i,j th entry quantifying information flow between individual elements X i,X j of the system.
This quantity is known as conditional transfer entropy, and is in particular used to define pairwise-conditional information flows T X i → X j | X [ ij ] i ≠ j (7). between component variables X i → X j of the system, conditioned on the remaining variables X[i j], where the notation denotes omission of the variables X i,X j.
One such metric is conditional entropy, an information theoretic measure of the uncertainty in a set of random variables, conditioned on available sensor measurements.
We used constructs from information theory, namely entropy, conditional entropy, and mutual information, to analyze lab test results from a large ICU database.
