Temperature based restricted boltzmann machines

• Main Authors: Li, Guoqi, Deng, Lei, Xu, Yi, Wen, Changyun, Wang, Wei, Pei, Jing, Shi, Luping
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2018
• Subjects: Restricted Boltzmann Machines; DRNTU::Engineering::Electrical and electronic engineering; Temperature
• Online Access: https://hdl.handle.net/10356/87524; http://hdl.handle.net/10220/46750
• Institution: Nanyang Technological University

Restricted Boltzmann machines (RBMs), which apply graphical models to learning probability distribution over a set of inputs, have attracted much attention recently since being proposed as building blocks of multi-layer learning systems called deep belief networks (DBNs). Note that temperature is a...