In this project, We build a Support Vector Machines classifier to classify a Pulsar star. We have used the Predicting a Pulsar Star dataset for this project. We have downloaded this dataset from the ...
Abstract: In this paper, the performance of different SVM kernel functions (Polynomial, Linear and Gaussian) for modelling electricity and hydrogen production in the gas turbine cycle ...
ABSTRACT: Support vector regression (SVR) and computational fluid dynamics (CFD) techniques are applied to predict the performance of an automotive torque converter in the design process of turbine ...
Python: Bug: KernelPlugin.from_directory initialises Python classes with no @kernel_function methods
The KernelPlugin.from_directory method says (emphasis mine): A .py file is parsed and a plugin created, the functions within as [sic] then combined with any other functions found. The python file ...
Support Vector Machines (SVMs) are a powerful and versatile supervised machine learning algorithm primarily used for classification and regression tasks. They excel in high-dimensional spaces and are ...
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