2017 article

LCD: A Fast Contrastive Divergence Based Algorithm for Restricted Boltzmann Machine

Ning, L., Pittman, R., & Shen, X. (2017, November 1). 2017 17th Ieee International Conference on Data Mining (Icdm), pp. 1015–1020.

By: L. Ning n, R. Pittman n & X. Shen n

topics (OpenAlex): Generative Adversarial Networks and Image Synthesis; Machine Learning and ELM; Advanced Neural Network Applications
TL;DR: Lean Contrastive Divergence (LCD) is proposed, a modified contrastive divergence learning algorithm, to accelerate RBM learning and prediction without changing the results. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2026) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.