Sentence examples for self-learning model from inspiring English sources

This leads to logically propose six models of model implementation: the technocratic model, the political model, the managerial model, the self-learning model, the conquest model and the experimental model.

A variant of the self-learn model can be found as part of the third sector, as in the University of the Third Age, where retired people come together to teach each other on a voluntary basis.

The goal is to predict future memory access patterns aggressively and accurately through a new self-learning prefetching engine model.

This is another example of students appreciating the self-paced learning model, creating a habit of learning, and leveraging the more frequent knowledge checks.

Initially, we considered Pintrich's perspective and general assumptions of the self-regulated learning model (SRL) and how it might apply to this case of "flipped classroom".

Computer-vision-based recognition methods are mainly feature detection and extraction [17 19], while CNN extracts this feature model by self-learning.

To realize quick attribute reduction and self-learning, a novel rough set model named GCRS that integrates rough set theory and GSC algorithm is proposed, and a corresponding quick attribute reduction algorithm and a rough self-learning algorithm based on GCRS are subsequently designed.

The regularization coefficient was set to 0.1 in the whitening pretreatment process, and adopted 400 hidden layer units (corresponding to 400 self-learning features) in the SAE model; the training parameters were set to be the same as λ = 3 × 10−3 and the number of the training parameters β = 5 and ρ = 0.035.

Thus a neural network, which is capable of self-learning the complex relation between the model parameters and the output difference above, is applied to the model and prediction of the neural network is used to 'fine-tune' the model accordingly.

We study a model of evolving populations of self-learning agents and analyze the interaction between learning and evolution.

Several approaches use stochastic methods that employ self-learning capability to extract knowledge such as hidden Markov models (HMM).