We propose a dynamic DEA model involving network structure in each period within the framework of a slacks-based measure approach. We have previously published the network SBM (NSBM) and the dynamic SBM (DSBM) models separately. Hence, this article is a composite of these two models. Vertically, we deal with multiple divisions connected by links of network structure within each period and, hori...

In this paper, we propose a novel method of building a language model for open-vocabulary Korean word recognition. Due to the complex morphology of Korean, it is inappropriate to use lexicons based on the linguistic entities such as words and morphemes in openvocabulary domains. Instead, we build the lexicon by collecting variable length character sequences from the raw texts using a dynamic Ba...

Fertility Awareness Methods are effective, safe, and low-cost techniques for identifying the fertile days of a menstrual cycle. In this paper, we compare the effectiveness of predicting the fertile days by a Dynamic Bayesian Network model of the monthly cycle to 11 existing Fertility Awareness Methods. We base our comparison on a real data set of 7,017 cycles collected by 881 women. We demonstr...