Human detection plays a crucial role in the field of computer vision. Novel methods using new techniques, such as Convolutional Neuron Networks or Recurrent Neuron Networks, can improve accuracy but ...

Another important step to optimize your SVM algorithm is to scale your data before feeding it to the model. This means that you should transform your data to have a mean of zero and a standard ...

In this repository, you will find a comprehensive collection of in-depth explanations, intuition, questions, and answers related to the Support Vector Machine (SVM) algorithm. Additionally, you will ...

Support Vector Machine (SVM) is a powerful machine learning algorithm used for linear or nonlinear classification, regression, and even outlier detection tasks.It is used in such as text ...

Based on voltage-second balance principle, a simple SVM control algorithm is proposed in this paper. This algorithm can effectively simplify the calculation and reduce calculation time greatly. Our ...

Lost Circulation Prediction Method Based on an Improved Fruit Fly Algorithm for Support Vector Machine Optimization. Song Deng * Song Deng. School of Petroleum Engineering, Changzhou University, ...