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The same was done for experience, with the addition of a fifth predictor modelling the rating epochs.
In comparison to the previous analysis, the design matrix contained one additional predictor modelling the number of saccades during the encoding phase (0 5 s after stimulus onset).
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The remaining six predictors modeled the other phases of the trial (Fig. 1B).
To this end, we estimated RFX GLMs with azimuth predictors modeling the ILD.
The model included two additional predictors modeling the target-absent trials (duration = 6 s) separately for mC and bmC viewing-conditions.
In each GLM version, the boxcar predictors modeling sound on/sound off were convolved with a double gamma HRF function (Friston et al. 1995) with a different TTP.
Four predictors modeled the correct detections in target-present trials (i.e., Hits), using single events time-locked to participant's responses.
Use of this predictor model with existing smart grid self-healing technology is proposed.
We fitted multiple predictor models using automated model selection via information theoretic approaches and multi-model averaging using maximum likelihood.
For that each sensor compares the predictor model available at the sink for its measurements against a predictor model for the sensor, which is more frequently updated, i.e., it considers non-transmitted measurements.
The ADMET Predictor model building software automatically performed feature selection, resulting in a final descriptor set of 76 descriptors.
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