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The integration of prior knowledge is realised by an adaptation of the model structure to that one of the process.
However, they also concluded that the integration of prior data with current data produces gains in efficiency especially when the number of recent plots is limited.
Reliability of vision systems may be enhanced by a good integration of prior knowledge and the cooperation between various image processing approaches.
We evaluate the proposed framework on standard datasets in terms of precision and accuracy of the detection and tracking results, and demonstrate the benefits of the integration of prior knowledge in the tracking process.
The basic idea proposed by the CATLM framework is that effective learning occurs when there is a clear integration of prior knowledge with new knowledge leading to coherently structured form of knowledge.
It enables integration of prior information to optimally resolve stimulus ambiguity.
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The delta parameter (δ of equation 7) which regulates the integration of prior-knowledge was set to 0.5.
Regarding the integration of prior-knowledge a requirement is that the knowledge used to infer the network must be different from the knowledge that is used for its validation.
As a statistical technique, such modelling – with the use of Markov chain Monte Carlo (MCMC) sampling – allows for integration of a prior distribution (prior beliefs/knowledge) with data from the behavioural task to obtain approximations of the posterior distributions of the outcome parameters.
Moreover, they showed that an additional soft-integration of prior-knowledge further increased the reliability of the inferred gene-to-gene relationships.
This paper proposes to interpret the geological causes of preferential flow by integration of a prior geological model with dynamic data using streamline-based travel time inversion.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com