Here’s a quick library to write your GPU-based operators and execute them in your Nvidia, AMD, Intel or whatever, along with my new VisualDML tool to design your operators visually. This is a follow ...

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

Erika Rasure is globally-recognized as a leading consumer economics subject matter expert, researcher, and educator. She is a financial therapist and transformational coach, with a special interest in ...

Julia Kagan is a financial/consumer journalist and former senior editor, personal finance, of Investopedia. Charlene Rhinehart is a CPA , CFE, chair of an Illinois CPA Society committee, and has a ...

Abstract: The k-nearest neighbor graph is an important structure in many data mining methods for clustering, advertising, recommender systems, and outlier detection. Constructing the graph requires ...

This repository contains the source code used in our paper titled Yihe Pang, Bin Liu. DisoFLAG: Accurate prediction of protein intrinsic disorder and its functions using graph-based interaction ...

This reference application includes an ST Schema Cloud-to-Cloud (C2C) connector, an OAuth2 server for authenticating from the SmartThings mobile app, and a web UI for creating, deleting and ...

Graclus (latest: Version 1.2) is a fast graph clustering software that computes normalized cut and ratio association for a given undirected graph without any eigenvector computation. This is possible ...

From cancer to Alzheimer’s: could a renewed focus on energy transform biomedicine? Including energy dynamics in research could improve our understanding of diseases and of the healing processes that ...

In Mathematics, there are no shortcuts to understanding, but there are definitely smarter paths to scoring well.