Submarine mountains and long-distance waves stir the deepest parts of the ocean

When most of us look out at the ocean, we see a mostly flat blue surface stretching to the horizon. It's easy to imagine the ...
IEEE

Sentiment Analysis Algorithm Based on Deep Transfer Learning for Multi-Source Data Fusion

Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...
EurekAlert!

NLRSeek: A reannotation-based pipeline for mining missing NLR genes in sequenced genomes

The tool integrates de novo detection of NLR loci at the genome level with targeted genome reannotation, and systematically reconciles these results with existing annotations to produce a ...
Reuters

Google says it has developed landmark quantum computing algorithm

SAN FRANCISCO, Oct 22 (Reuters) - Google said it has developed a computer algorithm that points the way to practical applications for quantum computing and will be able to generate unique data for use ...
American Library Association

Text and Data Mining Literacy for Librarians

ACRL announces the publication of Text and Data Mining Literacy for Librarians, edited by Whitney Kramer, Iliana Burgos, and Evan Muzzall, demonstrating how academic libraries are supporting TDM ...
Reuters

Paris prosecutors say they requested information about algorithm, not private data, from Musk's X

Danone recalls certain baby formula batches produced in Ireland as toxin scare widens Reuters, the news and media division of Thomson Reuters, is the world’s largest multimedia news provider, reaching ...
Scientific Research Publishing

Tang, F. and Ishwaran, H. (2017) Random Forest Missing Data Algorithms. Statistical Analysis and Data Mining: The ASA Data Science Journal, 10, 363-377.

ABSTRACT: Missing data remains a persistent and pervasive challenge across a wide range of domains, significantly impacting data analysis pipelines, predictive modeling outcomes, and the reliability ...
Scientific Research Publishing

Ester, M., Kriegel, H.-P., Sander, J. and Xu, X. (1996) A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise.

ABSTRACT: With the advancement of technology and the growth of human demand, pedestrian re-identification is a key technology of intelligent systems and plays an important role in daily life.