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This paper shows an application of a statistical learning method to the design of a fixed-order controller for a flexible beam.
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.
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.
The system is based on the integration of FAO/WHO evaluation scheme and a statistical learning method, known as SVM-pairwise, which has been very successful for remote protein homology detection [18], [19].
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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.
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.
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.
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.
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