نتایج جستجو برای: bayesian factor analysis

تعداد نتایج: 3529139  

Journal: :معماری و شهرسازی آرمان شهر 0
shima dadfar master of urban & regional planning, faculty of art & artitecture, islamic azad university, tehran central university, tehran central branch, tehran, iran. naser azimi assistent professor of urban planning, faculty of art & artitecture, islamic azad university, tehran central branch, tehran, iran. hasan ahmadi assistent professor of urban & regional planning, faculty of art & artitecture, university of guilan, guilan, iran.

one priority of planning at the regional level is to recognize the system of residence and particularly its urban system. one of the features of urban system in each area or country is the way of population distribution between the cities of these areas which is called city distribution size. in functional analysis of mazandaran province 41 development indexes of educational, cultural, social, ...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه علامه طباطبایی - دانشکده اقتصاد 1393

due to extraordinary large amount of information and daily sharp increasing claimant for ui benefits and because of serious constraint of financial barriers, the importance of handling fraud detection in order to discover, control and predict fraudulent claims is inevitable. we use the most appropriate data mining methodology, methods, techniques and tools to extract knowledge or insights from ...

Journal: :CoRR 2013
Arnim Bleier Andreas Strotmann

Introduction Author co-citation studies (Zhao & Strotmann, 2008) employ factor analysis to reduce highdimensional co-citation matrices to low dimensional and possibly interpretable factors, but these studies do not use any information from the text bodies of publications. We hypothesise that term frequencies may yield useful information for scientometric analysis. In our work we ask if word fea...

2008
Piyush Rai Hal Daumé

We propose a nonparametric Bayesian factor regression model that accounts for uncertainty in the number of factors, and the relationship between factors. To accomplish this, we propose a sparse variant of the Indian Buffet Process and couple this with a hierarchical model over factors, based on Kingman’s coalescent. We apply this model to two problems (factor analysis and factor regression) in ...

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