Inverse extreme learning machine for learning with label proportions

• Published in: 2017 IEEE International Conference on Big Data (Big Data) pp. 576 - 585
• Main Authors: Limeng Cui, Jiawei Zhang, Zhensong Chen, Yong Shi, Yu, Philip S.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.12.2017
• Subjects: attribute modeling; Calibration; classifier calibration; extreme learning machine; Learning with label proportions; Optimization; semi-supervised learning; Supervised learning; Support vector machines; Training; Visualization

In large-scale learning problem, the scalability of learning algorithms is usually the key factor affecting the algorithm practical performance, which is determined by both the time complexity of the learning algorithms and the amount of supervision information (i.e., labeled data). Learning with la...