Robust and fast Monte Carlo algorithm for high dimension integration

A new efficient subspace and K-Means clustering based method to improve Collaborative Filtering

Implementation of the block-descent-CoCoLasso, inspired from the article https://arxiv.org/pdf/1510.07123.pdf

In this project I look at the high dimensional MNIST dataset of handwritten digits and use PCA, t-SNE and Topological data analysis (TDA) to visualise and understand the dataset.

Modelos de alta dimensionalidade para previsão do IPCA

An Efficeint and Fast Wrapper-based High-dimensional Feature Selection(SIFE) in MATLAB

This repository contains the R-Package for a novel time series forecasting method designed to handle very large sets of predictive signals, many of which may be irrelevant or have only short-lived predictive power.

CVaR Portfolio Optimization in High Dimensions

Quantum neural network research implementing multi-dimensional neuron representations. Explores theoretical integration of quantum computing principles into neural systems to investigate emergent cognition and consciousness.

Efficient Learning of Minimax Risk Classifiers in High Dimensions

A Case study is to classify the genetic mutation classes.

Clustered heatmap of plant densities and multiple related variables in gardens

CFOF developed in Python. Based on Angiulli's works : https://arxiv.org/pdf/1901.04992v2.pdf