Quantum error correction can constantly recalibrate a processor

There are some obvious big picture issues that stand between us and useful quantum computing. Issues like whether we can make ...

Nigeria: US pulls some troops after anti-IS operation

The United States has withdrawn most of the forces it deployed for a recent operation against "Islamic State" militants in ...

'Every single penny counts' — Suze Orman says these 5 money missteps can cost you big. Are you making any of them?

"Every single penny counts when you're saving for your future." ...
IEEE

Supervised t-SNE for Metric Learning With Stochastic and Geodesic Distances

Abstract: The t-distributed stochastic neighbor embedding (t-SNE) consists of a powerful algorithm for visualizing high-dimensional data in a lower dimensional space. It is extensively employed in ...
GitHub

Quick and dirty t-SNE in C++

This repository contains a header-only C++ library implementing the Barnes-Hut t-distributed stochastic neighbor embedding (t-SNE) algorithm (van der Maaten and Hinton, 2008; van der Maaten, 2014).
Psychology Today

Brain-Computer Interfaces Boosted by Novel AI Algorithm

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...
IEEE

A Partial Discharge Signal Separation Method Applicable for Various Sensors Based on Time–Frequency Feature Extraction of t-SNE

Abstract: Currently employed features for separating partial discharge (PD) pulse signals are proposed based on signals captured by a particular sensor. If these features are used to separate PD ...
GitHub

Multi-scale t-SNE, a perplexity-free version of t-SNE.

At the end of this file, a demo presents how this python code can be used. Running this file (python mstSNE.py) will run the demo. Importing this module will not run the demo. The demo takes a few ...
Frontiers

A Comparison for Dimensionality Reduction Methods of Single-Cell RNA-seq Data

Single-cell RNA sequencing (scRNA-seq) is a high-throughput sequencing technology performed at the level of an individual cell, which can have a potential to understand cellular heterogeneity. However ...
Frontiers

A t-SNE Based Classification Approach to Compositional Microbiome Data

As a data-driven dimensionality reduction and visualization tool, t-distributed stochastic neighborhood embedding (t-SNE) has been successfully applied to a variety of fields. In recent years, it has ...