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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 ...
Model comparisons for genetic evaluation of gait type in Mangalarga Marchador horses
(2020-09-01)
Mangalarga Marchador (MM) is a very important Brazilian gaited horse breed. These animals show two gait types, differing in proportion of lateral or diagonal movements. Thus, it is possible to consider the gait type as a ...
Missing data mechanisms and their implications on the analysis of categorical data
(SPRINGER, 2011)
We review some issues related to the implications of different missing data mechanisms on statistical inference for contingency tables and consider simulation studies to compare the results obtained under such models to ...
Multiagent System for Semantic Categorization of Places Mean the Use of Distributed Surveillance Cameras
(01/09/2019)
Surveillance systems are quite common in almost every building. The current dimension of these systems is huge and involves a great deal of hardware and human resources for achieving these objectives. This paper proposes ...
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 ...
Color categorization models for color image segmentation
(2014)
In 1969, Brent Berlin and Paul Kay presented a classic study of color namingwhere experimentally demonstrated that all languages share a universal color assignment system of 11 basic color categories. Based on this work, ...
Conditional co-simulation of continuous and categorical variables for geostatistical applications
(PERGAMON-ELSEVIER SCIENCE LTD, 2009)
The modeling of uncertainty in continuous and categorical regionalized variables is a common issue in the geosciences. We present a hybrid continuous/categorical model, in which the continuous variable is represented by ...
Hierarchical Categorization of Research Expertise in the Presence of Scarce Information
(Universidade Federal de Minas GeraisUFMG, 2018-07-31)
Throughout the history of science, different knowledge areas have collaborated to overcome major research challenges. The task of associating a researcher with such areas makes a series of tasks feasible such as the ...