Learning relative similarity from data streams: Active online learning approaches

• Main Authors: Shuji Hao, Peilin Zhao, HOI, Steven C. H., Chunyan Miao
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: machine learning; data streams; online learning; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/2925; https://ink.library.smu.edu.sg/context/sis_research/article/3925/viewcontent/LearningRelativeSimilarityDataStreams_CIKM_2015_afv.pdf
• Institution: Singapore Management University

Relative similarity learning, as an important learning scheme for information retrieval, aims to learn a bi-linear similarity function from a collection of labeled instance-pairs, and the learned function would assign a high similarity value for a similar instance-pair and a low value for a dissimil...