Sentence examples for statistical learning methods from inspiring English sources
To address this, we propose SNPs2ChIP, a method to infer biological functions of non-coding variants through unsupervised statistical learning methods applied to publicly-available epigenetic datasets.
Recent work has suggested that statistical learning methods could be used to transform individual brain activity patterns into a common space while preserving representational contents.
In recent years, there has been a growing interest in developing statistical learning methods to provide approximate solutions to "difficult" control problems.
Probabilistic and statistical learning methods are used to design the weights of a neural networks to minimize the fuel consumption during a given path.
These models aim to utilize physics-based building energy simulations, reduced-order calculations and statistical learning methods to assess the energy performance of buildings within a dense urban area.
He is supervised by Jean-Philippe Vert and works on adapting statistical learning methods to cancer genomics, with a focus on model stability and randomized regularization techniques such as noise injection.
The method we have outlined here serves as a new computational template based statistical learning method to search for new inorganic scintillators with targeted properties.
This paper shows an application of a statistical learning method to the design of a fixed-order controller for a flexible beam.
The original contribution of this work is the use of structural shape attributes in an appearance-based statistical learning method framework leading to valuable recognition and false alarm rates.
In this design, ceramic sample classification is achieved with three well-known methods, a standard statistical learning method termed k-Nearest Neighbours (k-NN), a method using Decision Trees (C4.5) and a more complex neural network based method known as Learning Vector Quantisation (LVQ).
As described above, every individual classifier uses a different feature set, specifically, different derived features, but the same statistical learning method.
