Machine Learning Project 2013
-
Updated
Oct 10, 2014 - MATLAB
Machine Learning Project 2013
MSc in Mathematical Modelling - Modelling Workshop
Course work of Pattern Recognition CS6690 IIT Madras
Reject Option with Ordinal Learning Algorithms
Implementation of BatchSVM, introduced in Vural, Volkan, et al. "Using local dependencies within batches to improve large margin classifiers." Journal of machine learning research 10.Feb (2009): 183-206.
Email Spam Filter using SVM Classifier
This repository contains Matlab/Octave code developed throughout the Machine Learning course taken through Coursera
SVM implementation to classify email as spam or not spam
MLP BP vs SVM and SOM Neural Net implementation to predict hypertension
works for ML course by Andrew Ng
Predicts if an online news article will be shared often or not.
This is the page for the book Digital Signal Processing with Kernel Methods.
Implemented and evaluated four basic face recognition algorithms: Eigenfaces, Fisherfaces, Support Vector Machine (SVM), and Sparse Representation-based Classification (SRC) on YaleB dataset
Support vector machine to regression trained with kernel adatron algorithm
A general matlab framework for EEG data classification
Medical image analysis, to find a nerve tissue and get its location in an image.
My lecture notes and assignment solutions for the Coursera machine learning class taught by Andrew Ng.
Add a description, image, and links to the svm topic page so that developers can more easily learn about it.
To associate your repository with the svm topic, visit your repo's landing page and select "manage topics."