Multi-Shot Approximation of Discounted Cost MDPs
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Updated
Jul 23, 2024 - Python
Multi-Shot Approximation of Discounted Cost MDPs
A perceptron optimized with Numba that makes use of dual coordinates and kernel functions instead of classical dot product
packer identification tool using SVM
In this project I developed a program that generates nonlinearly separable data. This data is mapped into a higher dimension using a kernel trick where the data becomes linearly separable
A multiclass Support Vector Machine that supports kernel tricks has been implemented by solving the SVM quadratic programming problem.
Implemented a multi-class SVM that supports multi-core parallel computing
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