Results 11 to 20 of about 1,397,188 (342)
Hierarchical relational models for document networks [PDF]
, 2010 We develop the relational topic model (RTM), a hierarchical model of both network structure and node attributes. We focus on document networks, where the attributes of each document are its words, that is, discrete observations taken from a fixed ...
Blei, David M., Chang, Jonathan
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Hierarchical models for service-oriented systems [PDF]
, 2011 We present our approach to the denotation and representation of hierarchical graphs: a suitable algebra of hierarchical graphs and two domains of interpretations.
A. Corradini +15 more
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Towards Functional Flows for Hierarchical Models [PDF]
, 2007 The recursion relations of hierarchical models are studied and contrasted with functional renormalisation group equations in corresponding approximations.
D. F. Litim +7 more
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Hierarchical Models for Relational Event Sequences [PDF]
, 2012 Interaction within small groups can often be represented as a sequence of events, where each event involves a sender and a recipient. Recent methods for modeling network data in continuous time model the rate at which individuals interact conditioned on ...
Butts, Carter T. +3 more
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Physica A: Statistical Mechanics and its Applications, 2023 Hierarchical spin-glasses are Ising spin models defined by recursively coupling together two equally-sized sub-systems. In this work a new hierarchical spin system is introduced wherein the sub-systems are recursively coupled together through the parity of their spins.
openaire +3 more sources
Les Misérables: An analysis of low SWB across the world
Frontiers in Psychology, 2023 Global trends indicate that the prevalence of low subjective wellbeing is on the rise, though not all regions are equal in terms of both absolute levels and their trajectories.
Georgios Melios +5 more
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Evolutionary Applications, 2021 Ecological and evolutionary research questions are increasingly requiring the integration of research fields along with larger data sets to address fundamental local‐ and global‐scale problems.
Daniel W. A. Noble, Shinichi Nakagawa
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Generalized Direct Sampling for Hierarchical Bayesian Models [PDF]
, 2011 We develop a new method to sample from posterior distributions in hierarchical models without using Markov chain Monte Carlo. This method, which is a variant of importance sampling ideas, is generally applicable to high-dimensional models involving large
Braun, Michael, Damien, Paul
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On Horizontal and Vertical Separation in Hierarchical Text Classification [PDF]
, 2016 Hierarchy is a common and effective way of organizing data and representing their relationships at different levels of abstraction. However, hierarchical data dependencies cause difficulties in the estimation of "separable" models that can distinguish ...
Chen M. +8 more
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ISPRS International Journal of Geo-Information, 2019 This article aims at testing the possibilities of applying hierarchical spatial autoregressive models to create land value maps in urbanized areas. The use of HSAR (Hierarchical Spatial Autoregressive) models for spatial differentiation of prices in the ...
Radosław Cellmer +2 more
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