hierarchical model
Epidemiology of extrapulmonary tuberculosis in Brazil: a hierarchical model
... a hierarchical model may be a better way to capture the interrelationships between its ...this model, variables are included from distal to proximal ones, according to different levels of a causal ...
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A Hybrid Hierarchical Model for Multi Document Summarization
... There are many studies on the principles govern- ing multi-document summarization to produce co- herent and semantically relevant summaries. Pre- vious work (Nenkova and Vanderwende, 2005; Conroy et al., 2006), focused ...
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A Hierarchical Model of Reviews for Aspect based Sentiment Analysis
... a hierarchical bidirectional LSTM. We show that the hierarchical model outperforms two non-hierarchical baselines, obtains results competitive with the state-of-the-art, and out- performs the ...
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A composite Bayesian hierarchical model of compositional data with zeros
... composite model outperforms SVM as well as a hierarchical model with- out configurations in the classification task, with very good results obtained for the classification of glass items of use types ...
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A Dependency Constrained Hierarchical Model with Moses
... of hierarchical rules (not including glue rules) employed during decoding provides a useful indication of to what degree each model ac- tually uses hierarchical rules to construct transla- tions, ...
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MASLOW HIERARCHICAL MODEL: WHERE IS SOCIAL CONNECTION?
... Based on overall discussion, it can be concluded that Maslow has put the needs of love and belongingness at third stage in its hierarchical model. In actual the feelings of love and belongingness are ...
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Advances in the Normal-Normal Hierarchical Model
... Normal-Normal hierarchical model and proposes a method of estimation known as Gaussian Regression Interactive Multilevel Modeling ...the model via differentiation and aims to rectify issues based on ...
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Hierarchical model for forecasting the outcomes of binary referenda
... In this article, we propose a method for predicting the outcome of two referenda recently held in the United Kingdom. The first one is the Scottish independence referendum, held on 18 September 2014, and the second one ...
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A Bayesian Hierarchical Model For Longitudinal Data
... Bayesian hierarchical model for the analysis of longitudinal data from a randomized controlled clinical tuberculosis ...the model, we use the Gibbs sampler, which as well allows missing data for both ...
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A Hierarchical Model of Virtual Experience and Its Influences on the Perceived Value and Loyalty of Customers
... However, previous research has mostly concentrated on explaining VE at the individual, not the communal, level and neglected social interactions and mutual bonds, which contradicts activity theory and its assertion that ...
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Exploiting a Probabilistic Hierarchical Model for Generation
... could easily be augmented with a preprocessor that maps a semantic representation to our syn- tactic input; this is not the focus of our research. However, there are two more important dier- ences. First, the ...
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A Hierarchical Model of Web Summaries
... of hierarchical topic models to represent the content of Web ...a model from its manually-curated hierarchy of ...general model, hierarchical ...
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Hierarchical Neural Story Generation
... a hierarchical model, which first generates a sen- tence called the prompt describing the topic for the story, and then conditions on this prompt when generating the ...
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SSHLDA: A Semi Supervised Hierarchical Topic Model
... proposed model on large, real-world datasets in the question answering and website category domains on two tasks: the topic modeling of documents, and the use of the generated topics for document ...
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Craniofacial reconstruction based on a hierarchical dense deformable model
... a hierarchical dense deformable model for automatic craniofacial ...posed model is that the skull and face are represented as dense mesh without ...the model matching procedure can be ...
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Learning Hierarchical Structures On The Fly with a Recurrent Recursive Model for Sequences
... a hierarchical model for se- quential data that learns a tree on-the- fly, ...the model, a recurrent network adapts its structure and reuses recurrent weights in a recursive ...our model. Ad- ...
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A Simple and Effective Hierarchical Phrase Reordering Model
... orientation model for phrase-based systems that aims to bet- ter capture long distance dependencies, and that presents a solution to the problem illustrated in ...reordering model effectively treats the ...
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Model specification in hierarchical meta analysis
... Meta-analysis is now a standard and often imperative tool in comprehensive statistical analysis. The formal quantitative combination of results of interest from multiple sources can be employed for the purposes of study ...
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A Hierarchical Bayesian Model for Unsupervised Induction of Script Knowledge
... a hierarchical Bayesian model for unsupervised learning of script knowledge from crowdsourced descriptions of human ...statistical model over permutations which captures event ordering constraints in ...
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SNP interaction pattern identifier (SIPI): an intensive search for SNP-SNP interaction patterns.
... Motivation: Testing SNP-SNP interactions is considered as a key for overcoming bottlenecks of ge- netic association studies. However, related statistical methods for testing SNP-SNP interactions are underdeveloped. ...
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