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We then apply our method to the task of joint prediction of Bayley-III cognitive and motor scores, assessed at 18 months of age, adjusted for prematurity.
Therefore, the joint prediction of suitable habitat and seed dispersal in dependency of management actions is required for effective nature management.
Next, we expanded on previous applications of LiDAR by constructing 95% joint prediction confidence intervals to quantify prediction error at various spatial aggregations and habitat thresholds to determine a biologically and statistically meaningful grain size.
A joint prediction of 15% comes very close to the IOM rec.
The Joint prediction (JOI) is the prediction made by the program that assigns the structure using a "winner takes all" approach.
Our work extends the advantages of SVMs in data integration: while there is lot of work on SVMs for optimally combining several informative sources of data for a joint prediction (Lanckriet et al., 2004), there was no approach for correcting SVMs for observed confounding factors so far.
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Six months later the joint predictions of the prophets were published in a book titled "If War Comes".
However, for many applications joint predictions of the multiple responses are needed.
In our test conditions, ARGOT performed better than the other tools, while JAFA, taking advantage of the joint predictions from GOblet, GOtcha, InterProScan and PhyDBAC, proved to be the best of the rest.
Dependent GP posteriors (6) allow us to make joint predictions about both signals and their derivative processes at any finite number of input points, and the resulting posterior processes are summarized in Figure 1.
Because the derivative processes and original processes share the same input source, we can complement the dependent GP model and make joint predictions about original and derivative processes at any finite number of input points.
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