Extreme learning machine based transfer learning algorithms: A survey

By Syed Moshfeq Salaken, Abbas Khosravi, Thanh Thi Nguyen, Saeid Nahavandi. 2017

79 citations recorded by the source corpus.

Succinctly and concisely summarizes the current works in extreme learning based transfer learning tasks.Works as a starting point to find future opportunities in this domain.Provides recommendation for future experiments. Extreme learning machine (ELM) has been increasingly popular in the field of transfer learning (TL) due to its simplicity, training speed and ease of use in online sequential learning process. This paper critically examines transfer learning algorithms formulated with ELM technique and provides state of the art knowledge to expedite the learning process ELM based TL algorithms. As this article discusses available ELM based TL algorithm in detail, it provides a holistic overview of current literature, serves as a starting point for new researchers in ELM based TL algorithms and facilitates identification of future research direction in concise manner.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition