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We also performed tests using a uniform distribution across all settings to test the importance of using this prior knowledge from the pathway.
For networks with more than 19 000 links there is unlikely to be improvement, but inference of sparser networks is improved using this prior.
Patients in the control group who switch treatments could have their survival adjusted using this prior information to estimate the survival time they may have experienced if they had not switched.
In Section 5, we carried out a detailed Bayesian analysis using this prior and observed that the analysis provided a more coherent, flexible, and potentially more accurate analysis than a separate analysis of these data or a frequentist analysis of these data.
This moderate effect was probably due to the fact that only ∼11% of the measurements in the data of Fagnani et al. (2007) were suspected as noise based on expression values; thus, using this prior allowed the algorithm to converge more quickly but had little effect on the actual result.
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Teachers already use this prior knowledge and build on it to develop children's understanding.
In addition, in the constant value case of M, the proposed detector is optimized when M=5, and its detection performance is even close to that in the adaptive estimation case of M. Therefore, when the prior knowledge of strong scatterers of target is known, we can use this prior knowledge to obtain η1 by the offline Monte-Carlo tests.
Thus, when we encounter a media object such as an image or video link of that uploader, we can use this prior knowledge which may relate to whether the image or video belongs to our crawling topic in order to decide whether to follow that link.
Thus, we use this prior information in order to correctly assume the truncation of the number of taps to the delay spread of the ETU model, which in the 1D-JML estimator corresponds to L=6 and in the 2D-JML estimator corresponds to L=7.
However, because a lot is known about the performance of TST in various populations, we can use this prior knowledge to adjust the observed data.
Using a y-maze, we found that bees can not only differentiate between patterns containing two and three elements, but can also use this prior knowledge to differentiate three from four, without any additional training.
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