4 天前 - … This study proposes several approaches that use word embedding techniques to
handle … to our original machine learning task: predicting the association constant between …

6 天前 - … learning (SRL) strategies, and the learning environment can contribute to strategy
use and … SRL refers to the use of strategies to monitor/control learning, such as regulating …

8 天前 - … heterogeneity in substance use prevalence among … use. Further, this study showed
that group-lasso interaction network, a regularization approach based in machine learning, …

9 天前 - … learning, Yu et al. [18] proposed a method for multi-view clustering through efficient
anchor representation learning… , followed by consensus representation learning, and finally, …

14 天前 - … The objective was to overcome its current limitations in learning one-to-many
associations and nonlinear relationships. It proposed two major changes to achieve this: the use …

15 天前 - … We use a single learning rule named … use Hebbian descent as a learning rule
for all subregions, which is a stable, and biologically plausible learning rule for hetero-association …

15 天前 - … AND LEARNING APPROACH In our research, we introduce a methodology for
learning a … In the learning process, we simultaneously focus on two core objectives: (i) estimating …

16 天前 - … We use basic network models: stacked autoencoder (SAE) and convolutional neural
network (CNN), and show how to use the representative deep networks of them for visual …

18 天前 - … The representation of training data with the same variation as seen in the patient
population is an important consideration as it can impact deep learning model generalisability …

19 天前 - … In this paper, we use the Cora dataset, the specific statistics of which are shown
in Table 1. Cora includes a citation network of scientific publications, which we use to test the …