School custom is the base of its sustainable development ability. Addressing the present dilemma of constructing the school customs, the paper argued school organizational knowled...
We propose a novel dependent hierarchical Pitman-Yor process model for discrete data. An incremental Monte Carlo inference procedure for this model is developed. We show that infe...
As device geometries continue to shrink, single event upsets are becoming of concern to a wider spectrum of system designers. These “soft errors” can be a nuisance or catastro...
Background: The Baum-Welch learning procedure for Hidden Markov Models (HMMs) provides a powerful tool for tailoring HMM topologies to data for use in knowledge discovery and clus...
One of the authors has proposed a simple learning algorithm for recurrent neural networks, which requires computational cost and memory capacity in practical order O(n2 )[1]. The a...
Mohamad Faizal Bin Samsudin, Takeshi Hirose, Katsu...