Sentence examples for methods from machine from inspiring English sources

For these problems, he utilizes formal methods from machine learning, combinatorial optimization, and deep learning.

Here, we propose using methods from machine learning to semi-automatically analyze the arising finite element data and thereby significantly assist in the overall engineering process.

My research is at the intersection of machine learning and computational cognitive science, both on a) leveraging methods from machine learning to shed light on process-level accounts of how humans make inferences, and b) using frameworks from cognitive science to build a better understanding of black-box machine learning algorithms.

In our research, we incorporated an ensemble of computational methods from machine learning, image processing, and other data-scientific disciplines to extract useful psychological indicators from photographic data.

In the recent years, methods from machine learning and data mining are increasingly being used in the epidemiological and clinical domains.

Only when the objects are about the same size and the shape is not clearly defined (like small blood vessels versus cell bodies of pyramidal cells), more sophisticated methods from machine learning and artificial intelligence are necessary for automated component discrimination and image analysis.

This approach uses methods drawn from machine learning, in particular kernels for structured data.

Feature selection methods known from machine learning are a standard approach to identifying biomarkers from gene expression data.

His work utilizes methods from statistical machine learning and combinatorial optimization.

Finally, promising results presented in this paper provide evidence that research on acute inflammation treatment can benefit from methods from the machine learning community.

We propose that training feature-based classifiers using robust classification methods from the machine learning literature will better optimize the contribution of each feature to the discrimination of true and false positive somatic mutation predictions.