A novel connectionist method is proposed to simultaneously use diverse features in an optimal way for pattern classification. Unlike methods of combining multiple classifiers, a m...
In the context of understanding the particular use made of nomad Internet and mobile computing in its interactional dimension, this article examines the detail of a first-time con...
Alternating Gibbs sampling is the most common scheme used for sampling from Restricted Boltzmann Machines (RBM), a crucial component in deep architectures such as Deep Belief Netw...
Guillaume Desjardins, Aaron C. Courville, Yoshua B...
Many interesting problems, such as power grids, network switches, and tra c ow, that are candidates for solving with reinforcement learningRL, alsohave properties that make distri...
Jeff G. Schneider, Weng-Keen Wong, Andrew W. Moore...
The InfoPad project was started at UC Berkeley in 1992 to investigate the issues involved in providing multimedia information access using a portable, wireless terminal. It quickl...