Sentence examples for methods can learn from inspiring English sources

Policy based methods can learn explicitly an optimal stochastic policy [16], which is our goal.

Machine learning methods can learn complex patterns in the data but because of overfitting may not generalize well to new data.

For the problem addressed in this study, we believe that policy based methods is the natural choice for three reasons: Policy based methods can learn explicitly an optimal stochastic policy [16], which is our goal.

It could be shown that (1) using substrate pretreatment-specific biogas production of a biogas plant can be improved and that (2) machine learning methods can learn to measure important process values out of UV/vis and MIR spectroscopic measurements.

Importantly, PhyloBayes accounts for site-specific evolutionary effects, and by using non-parametric methods, can learn the distribution of each site's amino acid profile and evolutionary rate directly from the data.

Experimental results demonstrate that our method can learn feature representation which is time-invariant and viewpoint-invariant from depth sequences.

Theoretical analysis and experimental results all demonstrate that the proposed method can learn the Bayesian network from data effectively.

With a suitable encoding, data sets with compounds of various activity profiles can labeled in a way that a ranking method can learn the different importance between them.

In this way, because our method can learn color probability of hand adaptively, the background of testing images does not have to be the same.

Results on both synthesized and real videos show that our method can learn to segment different types of complex motion patterns.

Different from conventional methods, by both using the low-rank representation and sparse representation which can preserve the global structure and the local structure of the data, the proposed GESR-LR method can learn a novel weight graph.