In an experiment with a soccer playing robot, periodic temporally-constrained nonlinear principal component neural networks (NLPCNNs) are shown to characterize humanoid motion eff...
Karl F. MacDorman, Rawichote Chalodhorn, Minoru As...
We propose a class of graphical models appropriate for structure prediction problems where the model structure is a function of the output structure. Incremental Sigmoid Belief Ne...
With the rapid development of computer science, its education mode also changes a lot. Teaching and learning are not restricted by the physical distance with the help of the netwo...
Abstract. Inspired by the recent advances in evolutionary biology, we have developed a self-organising, self-adaptable cellular system for multitask learning. The main aim of our p...
As Computer Science (CS) educators, we are involved in teaching a variety of undergraduate and graduate courses such as database management systems, networking, software developme...
Bhagyavati, Stan Kurkovsky, Christopher C. Whitehe...