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This approach, called adaptive Bayesian inference system (BasIS), uses a probabilistic formulation with a sequential analysis method, for recognition of walking activities performed by participants.
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The model calculates the cost as the total number of physical layer transmissions using a probabilistic formulation that has been validated through network simulation.
Common to these approaches is that they use a probabilistic formulation to represent and update the pose of the robot.
In our case, we use a probabilistic formulation to handle the fact that some weak classifiers are missing at testing stage.
The advantages of the MAP method, the eigenvoice method, and the eigenphone method can be combined using a probabilistic formulation and the Bayesian principle, resulting in a hierarchical Bayesian adaptation method[10].
The linked mortality file uses a probabilistic matching method.
The difference between the original Fast-SLAM and the proposed method is the use of the log-likelihood function of GPS; the proposed combination method is implemented using a probabilistic mathematics formulation.
However, far greater generality can be achieved if we utilise a probabilistic formulation.
Using published experimental data, we have developed and validated a probabilistic formulation of GCN4 translation using the Chemical Master Equation (Model 1).
Using a general probabilistic formulation, this amounts to computing where X is the input data and Ψ is the collection of random variables upon which inference is performed (Buntine et al., 2004).
In P-DGKD, a probabilistic formulation is used to add uncertainty of robot posture and features in the metrics which can judge whether kidnapping happened.
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