SUpervised KErnel-based Sentiment Analysis Tool
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Updated
Jun 7, 2015 - C++
SUpervised KErnel-based Sentiment Analysis Tool
This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.
A library of smoothing kernels in multiple languages for use in kernel regression and kernel density estimation.
Coding Projects for my Masters thesis (Computational Science @ the University of Amsterdam, Netherlands)
Reproduction of the experiments presented in Kernel PCA and De-noising in Feature Spaces, as a project in DD2434 Machine Learning Advance Course during Winter 2016
Assignments done as a part of my SMAI-Course
Non-parametric method for estimating regime change in bivariate time series setting.
Contains the code (and working vm setup) for our KDD MLG 2016 paper titled: "subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs"
This is the page for the book Digital Signal Processing with Kernel Methods.
We compared the predictive accuracy and sparsity of support vector machines and relevance vector machines for a range of synthetic data sets differing in signal-to-noise ratio and other measures of difficulty.
An operational system template
Cross-Domain Kernel Induction for Transfer Learning
Multiple Kernel Least Squares Suport Vector Machine provide classification model.
My thesis
This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper
Machine Learning Algorithms
My implementation of homework 3 for the Machine Learning class in NCTU (course number 5088).
Machine Learning 2016/2017 - MSc Artificial Intelligence @ UvA
Implementation of clustering network with automatic feature extraction for NILM.
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