Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...
Department of Chemical Engineering, Federal University of São Paulo, Rua São Nicolau 210 - Centro, Diadema, SP ZIP code 09913-030, Brazil Department of Chemical Engineering, Federal University of São ...
In many engineering challenges, the whole interaction between the structural domain and the acoustic domain must be taken into account, particularly for the acoustic analysis of thin structures ...
The study of Bose–Einstein condensation (BEC) in lower dimensions plays an important role in understanding the fundamentals of many-body physics as they can be treated theoretically with relative ease ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. With quality standards and functional demands of products ...
Comparative protein structure modeling predicts the three-dimensional structure of a given protein sequence (target) based primarily on its alignment to one or more proteins of known structure ...
As of March 24, 2014, the MATLAB code supports the latest version of the L-BFGS-B solver (version 3.0), and is compatible with GNU Octave. Thank you to José Vallet for providing these updates. If you ...
Many engineering sectors are challenged by multi-objective optimization problems. Even if the idea behind these problems is simple and well established, the implementation of any procedure to solve ...
We consider the problem of estimating sparse graphs by a lasso penalty applied to the inverse covariance matrix. Using a coordinate descent procedure for the lasso, we develop a simple algorithm--the ...
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