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These numbers resulted after some iterative training.
Both training and conversion stages include iterative training (EM).
Reverse iterative: training c 1 with D n. 6.
An iterative training method based on the paradigm of discriminative training is therefore appropriate.
After that, this data becomes input to an iterative training process to learn part-based bases.
For this classifier, we propose a parameterization method, which is not necessarily based on an iterative training.
Similar(36)
In order to accelerate and simplify the training process of deep networks, non-iterative training procedures have been proposed.
Extreme Learning Machine (ELM) proposes a non-iterative training method for Single Layer Feedforward Neural Networks that provides an effective solution for classification and prediction problems.
We believe this framework is transferable to other institutions and can be implemented across diverse TA programs in which regular prep meetings can provide a context for sustained and iterative PD training activities (see Supplemental Material).
The ab initio GlimmerHMM, AUGUSTUS, and SNAP parameters were trained on all A. oryzae RIB40 gene models, while GeneMark + ES performed an iterative self-training procedure.
This method is based on the iterative preprocessing of training images which can extract boundary and detailed feature information of authentic training faces, thereby improving the peak-to-correlation energy (PCE) ratio of authentic faces and to be immune to intra-class variance and noise interference.
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