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Bayes Clustering Operators for Known Random Labeled Point Processes
(IEEE Acoustics Speech and Signal Processing Society, 2013-05)
There is a widespread belief that clustering is inherently subjective. To quote A. K. Jain, "As a task, clustering is subjective in nature. The same dataset may need to be partitioned differently for different purposes." ...
Solving the migration–recombination equation from a genealogical point of view
(Springer Heidelberg, 2021)
We consider the discrete-time migration–recombination equation, a deterministic,
nonlinear dynamical system that describes the evolution of the genetic type distribution
of a population evolving under migration and ...
Uma avaliação da utilização de matrizes de afinidades na validação de agrupamentos de dados
(Universidade Federal de Minas GeraisUFMG, 2013-10-25)
Differently from a supervised machine learning problem, where one seeks to find an approximate function from a labeled dataset, the unsupervised problems does not contain any information to guide the learning process. In ...
Discovering And Labelling Of Temporal Granularity Patterns In Electric Power Demand With A Brazilian Case Study
(Sociedade Brasileira de Pesquisa Operacional, 2016)
Multiscale skeletons by image foresting transform and its application to neuromorphometry
(Pergamon-elsevier Science LtdOxfordInglaterra, 2002)
Learning Models for Semantic Classification of Insufficient Plantar Pressure Images
Establishing a reliable and stable model to predict a target by using insufficient labeled samples is feasible and effective, particularly, for a sensor-generated data-set. This paper has been inspired with insufficient ...
Explorando abordagens de classificação contextual para floresta de caminhos ótimos
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2016-06-24)
Pattern recognition techniques have been widely studied and disseminated in order to
develop ways to improve the e ectiveness of the pattern classi ers using labeled samples.
However, such techniques usually work following ...