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By modifying the training phase of the k-associated optimal graph algorithm, and proposing a new labeling algorithm in the testing phase, we introduce a novel approach that is robust in the presence of different level of noise.
This observation leaves room for further improvements, for example by modifying the training data composition.
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Finally, some methods aim to reduce the amount of parameter learning to avoid overfitting, achieved by regularisation techniques modifying the training objective function or limiting the parameter learning cycles (Duda et al, 2001).
This process may be facilitated by modifying the current equipment and training drills used to train the tackle, and the time of season during which tackle technique training occurs.
The difference is an error value which is decreased during the training by modifying the weight values of the connections.
The echo-state network however, is trained by modifying the readout function of the network: the readout function of an echo-state network is mapped onto the desired outcome parameter during training till a sufficiently low mean squared error has been reached between the predicted and the real classification data.
The software may encounter a problem to assign all trains and request assistance from the user to resolve the issue by manually adjusting the train data, or by modifying the schedule constraints [9, 21].
ANFIS can be used to train the FIS model by modifying the membership function parameters based on error chosen criterion to cope with the training data.
Two models of different scales were tested for several train configurations by modifying the number of cars and bogie fairings, shape of nose and inter-car, and location of cavity on the roof of power car.
One validated approach involves training for optimism, by modifying the three components of explanatory style (permanence, pervasiveness, personalisation) through transforming negative thinking into positive cognitive processes that promote flexible thoughts and resilience.
We examined whether training could stimulate fiber type changes, by modifying the myosin heavy chain composition.
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