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The cross-entropy and sequential training procedures for the fMLLR input DNN are similar to the SI DNN baseline described in Section 3.1.3.
The approach taken to address future emissions is, starting from the baseline described above, to assess relevant scenarios (e.g. concerning economy, demography, industry, consumption, energy, agriculture, hydrology) and analyse how these scenarios may affect use and emissions of chemicals.
In this section, we present the results of soft target training using the fMLLR DNN baseline described in the previous section as a teacher DNN to provide labels for a student DNN to learn from.
Each plot in this figure shows the average fitness of the best sample selection solutions produced by the methods described in Section 2.4 (solid red line) and Section 2.3.2 (dotted blue line) relative to the simplest, baseline described in Section 2.2.
Each plot shows the average fitness of the methods described in Section 2.4 (solid red line) and Section 2.3.2 (dotted blue line) relative to the simplest, baseline described in Section 2.2, and its variation as a function of the number of generated hypotheses.
None the less, the first step in informing IPC education in undergraduate curricula is to determine a baseline, described as surveillance in a theoretical framework proposed by Mitchell and Gardner [ 10].
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A baseline describes the (theoretical) emissions that would have occurred in case the CDM project was not implemented.
Baseline describes time of first dose of anti TNF therapy.
Additional data collected at baseline describe participants' demographic characteristics, self-reported oral hygiene behaviors, fluoride exposure, and exposure to antibiotics.
In this section we present the results of our experiments with the GP framework and comparison with the baselines described in Sect.
These datasets are modeled with PRISM using a digital elevation model (DEM) as the predictor grid and provide baselines describing average annual precipitation between 1981 and 2000 to be used for display and/or analyses requiring spatially distributed annual precipitation.
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