As to the context model in time domain, we only consider one state context which models the past symbol B close to the current symbol C because the state before B has a weaker correlation with C while more states mean higher complexity.
The length of the context-based sequence is defined as the order of the context model.
The context model was the same as which used in EZBC algorithm, the algorithm data in reference [8] were quoted here.
On the other hand, this work presents ontology as a context model for representing the health knowledge in our system, including fitness status, biometric data, and medical information related to the user and relevant information about the physical activities she is doing in every moment.
In order to realize the concept of this platform, we introduce the task context model as an ontology-based semantic representation of the conceptual associations between a task and the task-related e-mail process.
Non four-fold degenerate sites are assumed to evolve according to a separate site-independent general time-reversible model, which shares the same (single) set of base frequencies as the context-dependent model at the four-fold degenerate sites.
As suggested in the selective context model, additional levels of regulation appear to be necessary to mediate target gene selection, modulated by e.g. either post-translational modifications of p53, co-factors, p53-binding factors, p53 responsive microRNAs (miRNAs), p53 family members or chromatin remodeling factors.
The State Education and Environment Roundtable (SEER), a consortium of 16 state departments of education, advocates using local natural and community surroundings as a context for learning in its "Environment as an Integrating Context" model of educational practices.
It has been claimed by many in the graph transformation community that model transformation, as understood in the context of Model Driven Architecture, can be seen as an application of graph transformation.
As the core of context modeling, this layer involves the application of representation and reasoning techniques, which usually entail an integration of different modeling approaches for an effective outcome as to the estimation of the situation of urban systems.
