Spatial models using multiple membership relation
Multiple membership models for social network and group dependencies
... Multilevel models have been developed and applied for individuals in groups, such as schools or areas, but these models tend to not consider the networks of an individual’s connections within and between ...
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Cross-classified and multiple membership structures in multilevel models : an introduction and review
... We have so far said very little about the role of the term e i in the model. This term is variously called the ‘disturbance’, ‘residual’, or ‘error’ and is pivotal to analyses using statistical models. It ...
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SpRL CWW: Spatial Relation Classification with Independent Multi class Models
... joint relation detection and role label- ing approach with the motivation that roles in spa- tial relations were dependent on each ...gather spatial relation candidate ...for relation classifi- ...
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Applications of Continuous Spatial Models in Multiple Antenna Signal Processing
... in using multiple antennas for communications has created an active area of ...possible spatial dimensions in addition to ...the spatial region of the trans- mitter and ...continuous ...
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Structured Relation Discovery using Generative Models
... bornIn relation be- tween a person and location ...probabilistic models, broadly similar to topic models, each which generates a corpus of ob- served triples of entity mention pairs and the surface ...
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The SPAtial EFficiency metric (SPAEF): multiple-component evaluation of spatial patterns for optimization of hydrological models
... trast, spatial performance evaluation does not correspond to the grand availability of spatial observations readily avail- able and to the sophisticate model codes simulating the spa- tial variability of ...
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Spatial Data Analysis Using MapReduce Models
... The framework has a component based architecture in order to be as adaptable and customizable as possible. Components can be added and recognized by the system even during runtime. AEGIS supports both vector geometry and ...
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SPATIAL DATA MODELS AND SPATIAL DATA
... data models to provide answers to these questions is of vital importance to the designer of a GIS ...vector spatial data models have strengths and weaknesses associated with answering different types ...
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Spatial radiative feedbacks from internal variability using multiple regression
... employing multiple regression can be used to estimate local and nonlocal radiative feedbacks from internal ...circulation models (AOGCMs). Given the spatial pattern of warming, the method does quite ...
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Projecting invasive species using remote sensing and spatial explicit models
... in relation to the Rosa rugosa locations on Kieler Ort showed an aversion to low, near sea level ...as spatial explicit model, has been implemented; and predicted a Rosa rugosa coverage on Kieler Ort of ...
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Robustness of Spatial Databases: Using Network Analysis on GIS Data Models
... For the class diagrams stored in XMI files, the relevant details for this thesis were the classes, the attrib- utes, and the relationships with their cardinality. Every class, attribute and relationship had a unique id ...
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Spatial Mass Spectral Data Analysis Using Factor and Correlation Models
... NMF algorithm is a low rank approximate factorisation method which has been extensively used in researches as a dimensionality reduction and segmentation technique. Compared with PCA, it uses a non-subtraction method to ...
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Computational Models for Spatial Prepositions
... for spatial prepositions We now describe the domains in which we tested our models as well as the experimental setup for annotating spatial configurations of ...several spatial prepositions, ...
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Using Emerging Methods to Investigate Stream and Groundwater Interaction at Multiple Spatial Scales
... intrinsic spatial and temporal variability have proven a challenge to ...improve spatial resolution from ...conduction-advection-dispersion models to determine the vertical component of hyporheic ...
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The embeddedness of organizational performance: multiple membership multiple classification models for the analysis of multilevel networks
... null models, and in comparison with the original analyses found that hospital networks still had the biggest share of network variation, and that the estimated proportion of variation in ED waiting time due to ...
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Estimating identification disclosure risk using mixed membership models
... log-linear models using algorithms such as Iterative Proportional Fitting (see Bishop et ...for models based on conditional exchangeability like GoM ...
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Spatial point process models for MRI lesion data in multiple sclerosis
... The parameter estimates given in Table 5.6 show that, regardless of including covariates or not, the imHPGRF model struggled to predict the true mark parameter values. The intensity-dependent mark process falls short ...
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Membership Management and Positioning Method of Multiple Objects using UWB Communication
... Sehyun Jeong a , Jun Bum Park a , Sung Ho Cho a, * a Department of Electronic Engineering, Hanyang University, Seongdong-gu, Seoul 04763, Republic of Korea Abstract Worldwide recently, connectivity of everything became ...
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Spatial and temporal rainfall approximation using additive models
... Rainfall is a fundamental component of any water resource assessment strat- egy. Many catchment authorities have implemented expensive and elaborate rainfall monitoring networks to capture the spatial and temporal ...
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Explaining clinical behaviors using multiple theoretical models
... implicit models as a basis for changing behavior used in medicine [29]; based on its poor performance, it would be easy to justify omitting it from further study and sensible to suggest that this is not a viable ...
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