12 citations · 22 across the 3 of their papers we have counts for
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cs.AI2016★ 12 cited
State Duration and Interval Modeling in Hidden Semi-Markov Model for Sequential Data Analysis
Hiromi Narimatsu, Hiroyuki Kasai
Sequential data modeling and analysis have become indispensable tools for analyzing sequential data, such as time-series data, because larger amounts of sensed event data have beco…
cs.AI2015
Duration and Interval Hidden Markov Model for Sequential Data Analysis
Hiromi Narimatsu, Hiroyuki Kasai
Analysis of sequential event data has been recognized as one of the essential tools in data modeling and analysis field. In this paper, after the examination of its technical requi…