نتایج جستجو برای: sequential path analysis

تعداد نتایج: 2996066  

2007
Bruno Salinier

Sekar and al. found an eecient parallel reduction strategy for the class of path sequential term rewriting systems, which follow the constructor discipline. In this article, we present an overview of a parallel reduction strategy for the extended class of nonconstructor path sequential systems. We then deene formally this class and show some of its properties. Moreover, we give a transformation...

2017
Juhee Bae Tove Helldin Maria Riveiro

This paper focuses on identifying factors that influence the process of finding a root cause and a derived effect in causal node-link graphs with associated strength and significance depictions. We discuss in detail the factors that seem to be involved in identifying a global cause and effect based on the analysis of the results of an online user study with 44 participants, who used both sequen...

2006
Canasai Kruengkrai Virach Sornlertlamvanich Hitoshi Isahara

This paper presents a framework for Thai morphological analysis based on the theoretical background of conditional random fields. We formulate morphological analysis of an unsegmented language as the sequential supervised learning problem. Given a sequence of characters, all possibilities of word/tag segmentation are generated, and then the optimal path is selected with some criterion. We exami...

Journal: :Annals of Pediatric Cardiology 2009

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه پیام نور - دانشگاه پیام نور استان تهران - دانشکده مدیریت و اقتصاد 1391

abstract nowadays, industries cannot play a crucial role in national and international competitions. the tourism industry is no exception. tourism industry development as the most important economic sector and income generation is one of the key challenges of economic development in the world. therefore, countries were successful that take advantage of the capabilities of tourism sector using ...

2013
Muhammed Ayub Hanif

Recursive Bayesian estimation using sequential Monte Carlos methods is a powerful numerical technique to understand latent dynamics of non-linear non-Gaussian dynamical systems. Classical sequential Monte Carlos suffer from weight degeneracy which is where the number of distinct particles collapse. Traditionally this is addressed by resampling, which effectively replaces high weight particles w...

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