Results 301 to 310 of about 11,467,392 (329)

An adaptive extreme learning machine based on an active learning method for structural reliability analysis

Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2021
Jiaming Cheng, Hui Jin
semanticscholar   +1 more source

Active Learning for Improving Machine Learning of Student Explanatory Essays

2018
There is an increasing emphasis, especially in STEM areas, on students’ abilities to create explanatory descriptions. Holistic, overall evaluations of explanations can be performed relatively easily with shallow language processing by humans or computers.
Peter M. Hastings, Simon Hughes, Mary Anne Britt   +2 more
openaire   +2 more sources

Machine Learning Classification Of Active

International Journal of Computing Algorithm, 2020
Client turnover in the banking industry has grown according to the report. Churn can be classified into a variety of types. It s common knowledge that the cost of acquiring a new client is significantly greater than that of the expense of keeping an existing one. The objective is to find the most accurate machine learning-based churn prediction systems
openaire   +1 more source

Active Learning and Crowd-Sourcing for Machine Translation

Proceedings of the Language Resources and Evaluation Conference, 2010
In recent years, corpus based approaches to machine translation have become predominant, with Statistical Machine Translation (SMT) being the most actively progressing area. Success of these approaches depends on the availability of parallel corpora. In this paper we propose Active Crowd Translation (ACT), a new paradigm where active learning and crowd-
Vamshi Ambati, Stephan Vogel, Jaime G. Carbonell   +2 more
openaire   +2 more sources

Accelerated discovery of CO2 electrocatalysts using active machine learning

Nature, 2020
M. Zhong, Kevin Tran, Yimeng Min, Chuanhao Wang, Ziyun Wang, Cao-Thang Dinh, Phil de Luna, Zongqian Yu, A. Rasouli, P. Brodersen, Song Sun, O. Voznyy, Chih-Shan Tan, M. Askerka, Fang-Lin Che, Min Liu, A. Seifitokaldani, Y. Pang, Sheng-Chuan Lo, Alexander H. Ip, Zachary W. Ulissi, E. Sargent   +21 more
semanticscholar   +1 more source

Practical Secure Aggregation for Privacy-Preserving Machine Learning

IACR Cryptology ePrint Archive, 2017
Keith Bonawitz, Vladimir Ivanov, Ben Kreuter, Antonio Marcedone, H. B. McMahan, Sarvar Patel, Daniel Ramage, Aaron Segal, Karn Seth   +8 more
semanticscholar   +1 more source

Active learning for bird sound classification via a kernel-based extreme learning machine.

Journal of the Acoustical Society of America, 2017
Kun Qian, Zixing Zhang, Alice Baird, Björn Schuller   +3 more
semanticscholar   +1 more source

Active Machine Learning in Regression Problems

2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2021
Juris Lapsins, Sarma Cakula
openaire   +1 more source

Explainable Active Learning (XAL)

Proceedings of the ACM on Human-Computer Interaction, 2021
Klaus Mueller, Liaoq Vera
exaly  

Constructing machine learning potentials with active learning

2023
Cheng Shang, Zhi-Pan Liu
openaire   +1 more source