This paper argues about the partitioning in hardware/software co-design and suggests the methodology applying extreme programming to complement the co-design. This approach, contr...
Heeseo Chae, Dong-hyun Lee, Jiyong Park, Hoh Peter...
Knowledge representation is essential for semantics modeling and intelligent information processing. For decades researchers have proposed many knowledge representation techniques...
— We propose a method that takes observations of a random vector as input, and learns to segment each observation into two disjoint parts. We show how to use the internal coheren...
— Several heuristic methods have been suggested for improving the generalization capability in neural network learning, most of which are concerned with a single-objective (SO) l...
— We have found a more general formulation of the REINFORCE learning principle which had been proposed by R. J. Williams for the case of artificial neural networks with stochast...