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An assessor-specific Bayesian multi-threshold mixed model for analyzing ordered categorical traits in tree breeding
(Springer Heidelberg, 2013-12)
Many traits of biological interest in tree breeding are assessed using more than two ordered discrete categories. These scores have a more or less arbitrary and subjective assignment by the assessors, which could lead to ...
Bifactorial Structure of Locus of Control Cross-culturally Invariant across Spain, Chile and United Kingdom
(Instituto de Investigaciones Psicológicas, Universidad de Costa Rica, 2015)
Variational Learning for the Inverted Beta-Liouville Mixture Model and Its Application to Text Categorization
he finite invert Beta-Liouville mixture model (IBLMM) has recently gained some attention due to its positive data modeling capability. Under the conventional variational inference (VI) framework, the analytically tractable ...
Decomposability of high-dimensional diversity measures: Quasi-U-statistics, martingales and nonstandard asymptotics
(Elsevier IncSan DiegoEUA, 2009)
A categorical account of replicated data types
(Schloss Dagstuhl. Leibniz-Zentrum für Informatik, 2019-12)
Replicated Data Types (rdts) have been introduced as a suitable abstraction for dealing with weakly consistent data stores, which may (temporarily) expose multiple, inconsistent views of their state. In the literature, ...
Principal Component and Regression Analysis for Categorical Data.Application to Arterial Hypertension.Análisis de Componentes Principales y Análisis de Regresión para Datos Categóricos. Aplicación en la Hipertensión Arterial.
(2010-07-02)
The present work is about the statistical processing of categorical data. The mathematical details of the Categorical Principal Components and the Categorical Regression Analysis are explained.The combination of both ...
Principal Component and Regression Analysis for Categorical Data.Application to Arterial Hypertension.Análisis de Componentes Principales y Análisis de Regresión para Datos Categóricos. Aplicación en la Hipertensión Arterial.
(2010-07-02)
The present work is about the statistical processing of categorical data. The mathematical details of the Categorical Principal Components and the Categorical Regression Analysis are explained.The combination of both ...
A document is known by the company it keeps: neighborhood consensus for short text categorization
(Springer Science+Business Media B.V., 2013)
Video summarisation by deep visual and categorical diversity
(Institution of Engineering and Technology, 2019-05-13)
The authors propose a video-summarisation method based on visual and categorical diversities using pre-trained deep visual and categorical models. Their method extracts visual and categorical features from a pre-trained ...