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Author: Muller, Annegret

  • Author: Du Toit, Monika
  • Author: Enslin, Chrismarie
  • Author: Hechter, Trudie
  • Author: Kamper, Francois
  • Author: Kroon, Rodney Stephen
  • Author: Oosthuizen, Surette
  • Author: Pretorius, Jani
  • Author: Sandrock, Trudie
  • Author: Uys, Daniel Wilhelm
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    Ensemble methods in multi-label classification
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    Label-dependent splitting for multi-label data

Author: Contardo-Berning, Ivona E.

  • Author: Du Toit, Monika
  • Author: Enslin, Chrismarie
  • Author: Hechter, Trudie
  • Author: Kamper, Francois
  • Author: Kroon, Rodney Stephen
  • Author: Oosthuizen, Surette
  • Author: Pretorius, Jani
  • Author: Sandrock, Trudie
  • Author: Uys, Daniel Wilhelm
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    Feature selection for multi-label classification

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    Ensemble methods in multi-label classification
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    Feature selection for multi-label classification
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    Advances in random forests with application to classification
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    Statistical classification in high-dimensional scenarios with a focus on microarray data sets
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    Classifying yield spread movements in sparse data through triplots
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    Two-phase behaviour in a sequence of random variables
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    Product of independent generalised gamma random variables
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    Preconditioning for feature selection in classification
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    Exploding biplots with density axes in Plotly
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    Evaluation of statistical analyses for the identification of surrogates and indicators using historical plant data from a water reclamation plant
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    Aspects of multi-class nearest hypersphere classification
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    Orthogonal models for cross-classified observations
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    An investigation into using neural networks for statistical classification and regression
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    A theoretical and empirical comparison of various statistical techniques as applied to a multicentre dataset
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    Variable selection for kernel methods with application to binary classification
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    Nearest hypersphere classification : a comparison with other classification techniques
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    Classification in high dimensional data using sparse techniques
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    Resampling algorithms for multi-label classification
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    Evaluating convolutional neural networks and transformer architectures for image-based prediction of protein localization in eukaryotic cells
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    Aspects on graduation of mortality data
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    Influential data cases when the C-p criterion is used for variable selection in multiple linear regression
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    Non-parametric volatility measurements and volatility forecasting models
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    A two-stage contagious naïve Bayes classifier for detecting sociolinguistic features in text
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    bipl5 : an R package for reactive calibrated axes PCA biplots

Similar Items: Regularised Gaussian belief propagation

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    Degenerate Gaussian factors for probabilistic inference
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    Bayesian inference of haematopoietic stem/progenitor cell differentiation phenotypic manifolds and their bifurcation points using Gaussian process and Gibbs sampling.
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    Estimation of garch models for Nigerian exchange rates under non-gaussian innovations
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    Adaptive process monitoring using principal component analysis and Gaussian Mixture Models
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    Tibullus’ poems and issues on Yoruba beliefs
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    Selection and propagation of elite Atriplex material
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    In vitro propagation of Gladiolus
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    Initialisation of noise-regularised neural networks
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    A portrayal of the supernatural fixation in the Iliad and works and days with allusion to an African belief system
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    Bayesian parameter estimation for discrete data spectra
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    Teachers' beliefs: understanding the thinking of secondary mathematics teachers as a starting point for improved professional development
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    Bayesian optimal filtering in dynamic linear models: an empirical study of economic time series data
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    Vegetative propagation of 'GF 677' (P. persica x P. amygdalus) stone fruit rootstock
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    performance of an acid-cassava starch medium in the propagation of fungi
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    Discriminant analysis using sparse graphical models
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    The vegetative propagation of some commercial deciduous fruit tree varieties and rootstocks with special reference to cuttings
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    Bayesian parameter estimation for process monitoring
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    Evaluating the potential of Gaussian process regression for data-driven renewable energy management
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    Improved propagation methods to raise the productivity of yam (dioscorea rotundata poir.)
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    Characterization of waveguides, beam coupling and propagation for simulated Raman conversion
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    Microtubers in yam germplasm conservation and propagation: the status, the prospects and the constraints
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    Investigating the use of ray tracing for signal-level radar simulation in space monitoring applications: a comparison of radio propagation models
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    Language identification using Gaussian mixture models
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    Yam propagation using 'aeroponics' technology

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