Clustering and combinatorial optimization in recursive supervised learning

• Main Authors: RAMANATHAN, Kiruthika, GUAN, Sheng Uei
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2007
• Subjects: Topology based selection; Recursive learning; Task decomposition; Neural networks; Evolutionary algorithms; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/7385; https://ink.library.smu.edu.sg/context/sis_research/article/8388/viewcontent/s10878_006_9017_5.pdf
• Institution: Singapore Management University

The use of combinations of weak learners to learn a dataset has been shown to be better than the use of a single strong learner. In fact, the idea is so successful that boosting, an algorithm combining several weak learners for supervised learning, has been considered to be the best off the shelf cl...