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Context-oriented systems are systems that observe and handle context information from the environment to guide their own behavior.
A context-aware approach relies on the knowledge of the context information from the network as well as the mobile terminals to form a decision.
The IoT makes every physical object become a potential part of a distributed network in which heterogeneous devices autonomously and spontaneously abstract and share context information from the real world [1].
Then the fuzzy k-nn rule is incorporated with it to design a contextual classifier that integrates the context information from the training set for more robust and qualitatively better classification.
Since Brown clustering is a bigram model, this model may not be able to carry wide context information of a word, whereas the WVC model is an n-gram model (usually n = 5) and learns broad context information from the domain corpus.
Applications can directly receive context information from the different context providers.
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Since MetaProm does not make new predictions, it relies on the context information from other PPPs in the surrounding region.
It can receive data, merge with the other context information from other devices and send instructions to corresponding actuators.
Because there was no context information present during the item recognition phase, any pattern similarity differences between these pair types must be ascribed to the reactivation of context information from memory.
For CpG-rich promoters, the overlaps are as high as 80% in medium and low resolution, and the model can use context information from other predictions and thus works better.
Santhapuri et al.[11] discuss the application of out-of-band context information from sensors to assist wireless communication design.
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