To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. Reprints and permissions About this article Cite this article Vilppu, H., Laakkonen, E., Laine, A. et al. Learning strategies, self-efficacy beliefs and academic achievement of first-year preservice teachers...
have exposed common trends in Second Life and simSchool implementation and the research that surrounds it. It has also confirmed the affordances of these SBL platforms in initial teacher education. Additionally, it revealed limited research differentiation and theoretical basis to a significant number of...
Organized retail crime (ORC) is a significant issue for retailers, marketplace platforms, and consumers. Its prevalence and influence have increased fast in lockstep with the expansion of online commerce, digital devices, and communication platforms. Tod
Multi-source domain adaptation With the availability of a large number of datasets, even though with limited data samples, it is an intuitive step to take advantage of the diverse information comprehended by the different sources. Multi-source transfer learning has been explored widely in text class...
These findings are encouraging to us since in a typical setting of high-dimensional and biomedical problems, the sample size is smaller than the number of variables. Table 2 Simulation with variable–variable connections: randomly select combinations of hyper-parameters to search over Full size table...
This research paper is organized as follows: the objects of this review in the “Objectives” section, the search and selection process is introduced in the “Materials and methods” section, the results in the “Results” section, the discussion of these selected papers in the “Conclusions” ...
1). These curves have been explored as an efficient method for modeling the power law relationship, s(m)∝amb, between the generalization score s (such as generalization error or accuracy) and the number of training samples m, where a and b are two parameters of the power law model. The...
Accord.MachineLearning - Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications. This package is part of the Accord.NET Framework. DiffSharp - An automa...
Optunity - A library dedicated to automated hyperparameter optimization with a simple, lightweight API to facilitate drop-in replacement of grid search. Neural Networks and Deep Learning - Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING]. Annoy - Approximate nearest ne...
Deep learning infrastructure: With the great increase in the number of single cells, classical methods [60,61] cannot effectively enjoy the benefit from big single-cell data, while deep learning has been proven to be effective. Furthermore, deep learning techniques are also good at handling high...