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Despite the large uncertainty ranges for the two individual systems, the special design of the paired experiment led to a reduced error of the differential effect, because very similar systematic errors for both parallel fields could be assumed.
According to Kolmogorov's theorem two hidden layers of neurons with biases are used, to obtain a reduced error of approximation of the estimate f.
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A multi-session and interdisciplinary heuristic evaluation method can save both the project budget and the required time, while ensuring a reduced error rate for the universal usage of the built environments.
RIPPER induces an ordered set of rules by combining covering with a reduced error pruning strategy.
Furthermore, a reduced relative error of 0.19% to 7.9% is observed for the analyzed benchmark designs, with the exceptional increase in estimation speed, which is more than the order of magnitude of the conventional Xilinx Vivado Design Suite.
Typically, the reduced error rate of the most protected class is compensated for by an increased error rate of the other classes.
In the experimentally most common case of diagonal fringes the reduced error is an order of magnitude smaller than for nearly one-dimensional case within almost entire parameter space.
The goal is to desensitize this multi-phase optimal trajectory with reduced error in presence of initial state error, thrust error, Moon's gravity uncertainty.
RIPPER: F: number of folds for reduced error pruning; N: minimal weights of instances within a split; O: number of optimization runs RIDOR: F: number of folds for reduced error pruning; S: number of shuffles for randomization; A: Flag set to use the error rate of all the data to select the default class in each step.
Therefore, a reduced dynamic error reflects the capacity of our model to take into account the dynamic features of the system (e.g. non-linearities, delays, stiffness) whereas a small static or constant error would suggest the presence of a small and constant bias in the sensorimotor transformations [23].
PART: C: confidence threshold for pruning; M: minimum number of instances per leaf; R: use reduced error pruning; N: number of folds for reduced error pruning; B: Use binary splits for nominal attributes Comparison of the generated versus true model, rules and attributes.
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