Sentence examples for adopted in the learning from inspiring English sources

To carry out bifurcation analysis, we vary the input strength <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0017432.e192.PNG" class= inline-graphic"/> continuously instead of choosing the large input value adopted in the learning process, and study the corresponding changes in the attractor.

Problem-based learning (PBL) was adopted in 1999 as the major teaching strategy in the four core courses of the master of science in nursing (MSN) program in Nursing Administration.

Although concern has been often expressed about the lack of independent validation of genomic prediction models (Micheel et al., 2012; Subramanian and Simon, 2010), independent validation has not been systematically adopted in the comparison of learning algorithms.

However, a performance measure for multiclass classification problems (i.e., more than two classes) has not yet been fully adopted in the pattern recognition and machine learning community.

As a consequence, the use of technology-enhanced learning as adopted in the present study gives a good view to allowing every individual student choosing relevant bits from e-learning and traditional face-to-face lectures and combining them to his best convenience.

Both qualitative and quantitative methods in machine learning can be adopted in the MDM process to accomplish different tasks in materials discovery, design, and optimization.

It's an idea that's been adopted in the United States - and the BBC has learnt that at least one group setting up a free school in England is looking at this option.

To overcome this problem, other algorithms based on reinforcement learning techniques have been adopted in the literature [29].

This gives us a revelation that we should pay attention to the relationship between these tricks adopted in feature learning systems and not just put them together.

In addition, while it is widely accepted that CNAs signals at adjacent probes are highly correlated [ 9, 13- 15], the assumption of probe independence is often adopted in constructing and learning the null distribution, probably for mathematical convenience [ 3, 16].

Whitening transformation is also an important pre-processing step adopted in deep learning algorithms to learn good features by decorrelating the input.