The phrase "a set of contexts" is correct and usable in written English.
It can be used when referring to multiple situations or environments in which something is applicable or relevant.
Example: "To fully understand the concept, we need to analyze it within a set of contexts that illustrate its various applications."
Alternatives: "a collection of contexts" or "a range of contexts".
Device ontology, denoted with Ω, is a set of contexts.
They establish the destination of an exception raised in a set of contexts associated with a set of participants.
DMMS allows to dynamically provide the appropriate multicast support mode based on a set of contexts such as the service's characteristics, mobility of the node and network context to adapt to the service's requirements as well as operator's policies.
That is, we first envision a variety of situations or environments in which the mental state could be embedded, i.e. a set of contexts or centered worlds that contain, at the center, the very mental state whose content we are interested in.
('LD' stands for 'the Logic of Demonstratives'.) Each LD structure contains a set of contexts, a set of worlds, a set of individuals, a set of positions (common to all worlds), a set of times (common to all worlds), and a function that assigns to each predicate and individual constant an intension, which is a function from time-world pairs to extensions.
To address this, the authors should include in this assay a set of negative controls, including a construct lacking luciferase, and a set of contexts with very low RTP scores, to establish a background readthrough rate.
L is a set of context states and l 0∈L is the initial state; E is a set of context property events; T⊆L×E×L is a transition relation.
However, there is a set of context-dependent issues that impacts how one considers the concept of smell.
This paper further extends the previously proposed algorithm adapting the behavior of robots based on a set of context-based evaluation metrics.
Training monophone system: A set of context-independent or monophone Gaussian mixture model-hidden Markov model (GMM-HMM) acoustic models were trained on the above features.
Formally: A context property is a state transition system p=〈L,l 0,E,T〉, where: L is a set of context states and l 0∈L is the initial state; E is a set of context property events; T⊆L×E×L is a transition relation.
