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swMATH4873MaRDI QIDQ17027

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Classification using semiparametric mixtures ⋮ Performance analysis of hyperparameter optimization methods for ensemble learning with small and medium sized medical datasets ⋮ A hybrid data-level ensemble to enable learning from highly imbalanced dataset ⋮ Enhancing evolutionary fuzzy systems for multi-class problems: distance-based relative competence weighting with truncated confidences (DRCW-TC) ⋮ Empowering difficult classes with a similarity-based aggregation in multi-class classification problems ⋮ Panel cointegration testing in the presence of a time trend ⋮ Efficient editing and data abstraction by finding homogeneous clusters ⋮ On $\ell_p$-Support Vector Machines and Multidimensional Kernels ⋮ An auto-adjustable semi-supervised self-training algorithm ⋮ Ordinal classification based on the sequential covering strategy ⋮ Simultaneous variable weighting and determining the number of clusters -- a weighted Gaussian means algorithm ⋮ Uncertainty-aware resampling method for imbalanced classification using evidence theory ⋮ Aspects of topological approaches for data science ⋮ RHSBoost: improving classification performance in imbalance data ⋮ Ensembles of cost-diverse Bayesian neural learners for imbalanced binary classification ⋮ Rough cognitive ensembles ⋮ Max-plus and min-plus projection autoassociative morphological memories and their compositions for pattern classification ⋮ FRPS: a fuzzy rough prototype selection method ⋮ Probabilistic combination of classification rules and its application to medical diagnosis ⋮ An unsupervised parameter learning model for RVFL neural network ⋮ Using the Choquet integral in the fuzzy reasoning method of fuzzy rule-based classification systems ⋮ JavaStatSoft: design patterns and features ⋮ Granular fuzzy models: analysis, design, and evaluation ⋮ An interpretability improvement for fuzzy rule bases obtained by the iterative rule learning approach ⋮ Tunable equivalence fuzzy associative memories ⋮ Comparison of algorithms for clustering incomplete data ⋮ Domains of competence of the semi-naive Bayesian network classifiers ⋮ AECID: asymmetric entropy for classifying imbalanced data ⋮ Robust capped L1-norm projection twin support vector machine ⋮ Granulation in rough set theory: a novel perspective ⋮ Instance spaces for machine learning classification ⋮ Learning mixtures of polynomials of multidimensional probability densities from data using B-spline interpolation ⋮ Detecting outliers for complex nonlinear systems with dynamic ensemble learning ⋮ Morse-Smale decomposition of multivariate transfer function space for separably-sampled volume rendering ⋮ Critical sets in discrete Morse theories: relating Forman and piecewise-linear approaches ⋮ General twin support vector machine with pinball loss function ⋮ Sequential combining in discriminant analysis ⋮ A classification algorithm based on geometric and statistical information ⋮ Proximal support vector machine techniques on medical prediction outcome ⋮ Design and analysis of infectious disease studies. Abstracts from the workshop held February 18--24, 2018 ⋮ Enhancing techniques for learning decision trees from imbalanced data ⋮ Sequential truncation of \(R\)-vine copula mixture model for high-dimensional datasets ⋮ Fast exhaustive subgroup discovery with numerical target concepts ⋮ Identifying consistent statements about numerical data with dispersion-corrected subgroup discovery ⋮ Differentially private nearest neighbor classification ⋮ Nonparametric statistical analysis for multiple comparison of machine learning regression algorithms ⋮ FL-MAC-RDP: federated learning over multiple access channels with Rényi differential privacy ⋮ A finite-time particle swarm optimization algorithm for odor source localization ⋮ Fuzzy partitioning of continuous attributes through discretization methods to construct fuzzy decision tree classifiers ⋮ A fast and efficient multi-objective evolutionary learning scheme for fuzzy rule-based classifiers ⋮ A methodology for quantifying the effect of missing data on decision quality in classification problems ⋮ Intuitionistic fuzzy possibilistic C means clustering algorithms ⋮ Structural multiple empirical kernel learning ⋮ Hierarchical clustering with optimal transport ⋮ An instance-based learning recommendation algorithm of imbalance handling methods ⋮ Capacities and overlap indexes with an application in fuzzy rule-based classification systems ⋮ Parameter learning in hybrid Bayesian networks using prior knowledge ⋮ CCR: a combined cleaning and resampling algorithm for imbalanced data classification ⋮ Regression conformal prediction with random forests ⋮ An overlap sensitive neural network for class imbalanced data ⋮ Generating a hierarchical fuzzy rule-based model ⋮ A mixture of regular vines for multiple dependencies ⋮ Entropy-based estimation in classification problems ⋮ Discrete Morse theory for weighted simplicial complexes ⋮ Classification of Imbalanced Data with a Geometric Digraph Family ⋮ Reliability-based fuzzy clustering ensemble ⋮ RCSMOTE: range-controlled synthetic minority over-sampling technique for handling the class imbalance problem ⋮ EARC: evidential association rule-based classification ⋮ Pattern classification with evolving long-term cognitive networks ⋮ Editorial: Special issue on statistical algorithms and software ⋮ A software framework for data analysis ⋮ Chebyshev approaches for imbalanced data streams regression models ⋮ A novel honey-bees mating optimization approach with higher order neural network for classification ⋮ RB-CCR: radial-based combined cleaning and resampling algorithm for imbalanced data classification ⋮ Learning compact zero-order TSK fuzzy rule-based systems for high-dimensional problems using an apriori \(+\) local search approach ⋮ Classification using proximity catch digraphs ⋮ Relaxed support vector regression ⋮ TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions ⋮ Robust subgroup discovery. Discovering subgroup lists using MDL ⋮ Unnamed Item ⋮ Constrained Naïve Bayes with application to unbalanced data classification

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