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Compared with the previous works, there are two advantages of our algorithm: (1) Manifold learning which leverages the underlying geometric structure of the training data is imposed to utilize both labeled and unlabeled data.
Boosting algorithms pay attention to the particular structure of the training data when learning, by means of iteratively emphasizing the importance of the training samples according to their difficulty for being correctly classified.
The structure of the training model is shown in Figure2.
Pilot symbols are exploited at the initialization phase and in subsequent iterations considering the special structure of the training sequence.
Based on the structure of the training matrices, the Kalman filter recursion was simplified to a scalar recursion.
This would suggest that it is not just the use of cadavers are important but also the structure of the training days.
Similar(40)
Regarding structure of the trained RBFNNs, a greater range of neuron numbers in the hidden layer is tested and compared to the MLP networks.
The structure of the trains are colored orange; the seats and restraints are black.
The structure of the trains are colored yellow, red and blue.
The structure of the trains are painted orange and teal, with matching colored restraints and seats.
The structure of the trains are coloured blue, red, and yellow; the seats are black and the restraints are yellow.
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CEO of Professional Science Editing for Scientists @ prosciediting.com