Sentence examples for via supervised from inspiring English sources
By leveraging the labeled information via supervised learning, the learned features are endowed with more discriminative power.
If the map is constructed via supervised classification, then the training sample provides a potential alternative source of data for accuracy assessment.
Translating this wisdom into DL-CHI, our basic idea is to first learn individual models through the CHI formulation and then reconstruct the model parameters of the learned individual models via supervised dictionary learning.
Based on the concept of stability margin, pre-fault power system conditions are assigned to the output neurons on the two-dimensional grid with the growing hierarchical self-organizing map technique (GHSOM) via supervised artificial neural networks (ANNs) which perform an estimation of post-fault power system state.
In clinical populations, PA promotion is primarily carried out via supervised, hospital based exercise programmes.
SNP-specific means and standard deviations (SDs) are obtained for each genotype via supervised learning using HapMap data.
Practical training and coaching are particularly effective, especially if the learner is supported when they come to apply those skills, either through one-to-one coaching or via a supervised network.
In this paper, we present a new framework for object recognition via weakly supervised metric and template learning, wherein the optimal metric and templates are jointly learned.
Mitnick proved this when he was given a chance at freedom via a supervised release, but was given another 14 months when he broke the terms of his supervision.
Identification of an appropriate temporal neural network model of the nonlinear transonic aerodynamic response is facilitated via a supervised training process using multiple input output sets, with data obtained by an Euler CFD code.
The advantages of such a strategy are that there is no need to completely label a large collection of data (as some unlabeled data is expected) and that the model has some prior knowledge (via the supervised data) to capture relevant class/label information in the data.
