Sentence examples for framework of conditional from inspiring English sources
In the framework of conditional knowledge bases and default extensions, it implies that any rational inference relation may be considered as the rational closure of a minimal knowledge base.
Adjustments for parameters whose distribution among cases and controls differed significantly were made within the framework of conditional logistic regression.
Instead, matching needs to be taken into account in the framework of conditional logistic regression with maximization of conditional likelihood.
Using the sequential framework of Conditional Random Fields (CRFs), sentences in abstracts are labeled with the four rhetorical roles of Aim, Method, Results and Conclusion.
Third, we applied a statistical framework composed of conditional analysis, MR, and SEM to investigate the role of metabolites in lipid pathways, and showed that one or more metabolites potentially mediate the SNP-lipid association at two loci, FADS1 and GCKR (both statistically significant by SEM, and FADS1 suggestively by MR).
In this work, we introduce two multivariate volatility models, standardized dynamic conditional correlation, and standardized exponentially weighted moving average, both of which are built upon the framework of dynamic conditional correlation and exponentially weighted moving average models, respectively.
To optimally integrate heterogeneous data sources, Fei Luo et al. proposed a framework of discovering the conditional co-regulated protein complexes.
Time consistency in L ∞ framework, defined in terms of conditional expectation, was studied in (Detlefsen and Scandolo 2005, Section 5) and associated with the super(sub martingale property.
We provide a framework for improved modelling of conditional and synergistic interactions from matched transcriptomic and epigenomic data.
In this study, we introduce a modelling framework that allows the integration of conditional regulatory data by unsupervised identification of latent regulatory classes.
In developing the framework, the conditional probabilities of different flood events under various extreme precipitation scenarios are estimated by exploiting the copula-based model.
