
Multi-kernel Classification Machine with Universum learning
Changming Zhu(Author)
LAP Lambert Academic Publishing
Published on 17. March 2017
Book
Paperback/Softback
56 pages
978-3-659-70793-3 (ISBN)
Description
Universum learning can reflect priori knowledge about application domain and improve classification performances. Since multi-kernel classification machine with reduced complexity, i.e., NMKMHKS, has a high performance to reduce both the time and space complexities of multiple kernel learning (MKL), so we introduce Universum learning into NMKMHKS and propose a Universum-based NMKMHKS (Uni-NMKMHKS).
More details
Language
English
Dimensions
Height: 220 mm
Width: 150 mm
Thickness: 4 mm
Weight
102 gr
ISBN-13
978-3-659-70793-3 (9783659707933)
Schweitzer Classification
Person
Changming Zhu received the B.S degree and PHD degree in Department of Computer Science and Engineering, East China University of Science and Technology (ECUST), China, 2010 and 2015 respectively. Currently he is a teacher in College of Information Engineering, Shanghai Maritime University. His research interests focus on neural computing.