This repository contains Materials for Non-Parametric Inference
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Updated
Apr 6, 2017 - R
This repository contains Materials for Non-Parametric Inference
Classification on the Web Spam Dataset using Percepton and Kernel Perceptron with Polynomial, Gaussian, Exponential and Laplacian Kernels.
classify mnist datasets using ridge regression, optimize the algorithem with SGD, stochastic dual coordinate ascent, and mini-batching
SVM with Gaussian kernel implementation for spam classification problem using numpy
It is based on support vector machines ,first we used linear kernel for lesser featured dataset, Gaussian kernel for more complex dataset.
An Efficient Gaussian Kernel Based Fuzzy-Rough Set Approach for Feature Selection
Solving the Character recognition problem as an SVM optimization problem using CVXOPT
My first attempt with building a SVM model, and optimizing the cost and gamma parameters using the Gaussian Kernel grid search method.
Gaussian Kernel in NVIDIA CUDA
Computer Vision projects using python
Fraud detection over twitter feed data
Implementation of the algorithm from "Fast training of Support Vector Machines with Gaussian kernel" (Fischetti, 2016)
We use support vector machines (SVMs) with various example 2D datasets. Experimenting with these datasets will help us gain an intuition of how SVMs work and how to use a Gaussian kernel with SVMs. In the next half of the exercise, we use support vector machines to build a spam classifier.
Fast Incremental Support Vector Data Description implemented in Python
a model that predicts some binary target based on two features using Gaussian kernel
Statistical pattern recognition course projects from shiraz university.
Implementation of Kernel-Density-Estimation (KDE) with Matlab
A novel architectural design for stitching video streams in real-time on an FPGA.
PyTorch implementation of important functions for WAIL and GMMIL
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