The following pages link to UCI-ml (Q16261):
Displaying 50 items.
- Optimal subsampling for large-scale quantile regression (Q1996884) (← links)
- Opposition-based moth-flame optimization improved by differential evolution for feature selection (Q1997867) (← links)
- Sequential three-way decisions via multi-granularity (Q1999035) (← links)
- NIS-apriori-based rule generation with three-way decisions and its application system in SQL (Q1999039) (← links)
- Linear components of quadratic classifiers (Q1999446) (← links)
- Speeding up parameter and rule learning for acyclic probabilistic logic programs (Q1999576) (← links)
- On indexing evidential data (Q1999579) (← links)
- The empirical Christoffel function with applications in data analysis (Q2000530) (← links)
- Clustering stability-based evolutionary K-means (Q2001129) (← links)
- Characterizing the optimal pivots for efficient similarity searches in vector space databases with Minkowski distances (Q2001629) (← links)
- Smaller feature subset selection for real-world datasets using a new mutual information with Gaussian gain (Q2002418) (← links)
- Prediction based on conditional distributions of vine copulas (Q2002717) (← links)
- Uncertain distribution-based similarity measure of concepts (Q2004122) (← links)
- Unsupervised fuzzy model-based Gaussian clustering (Q2005500) (← links)
- Hierarchical clustering with optimal transport (Q2006729) (← links)
- On parsimonious models for modeling matrix data (Q2008114) (← links)
- Learning decision trees with flexible constraints and objectives using integer optimization (Q2011578) (← links)
- Fuzzy rough set based incremental attribute reduction from dynamic data with sample arriving (Q2013854) (← links)
- An algorithm for clusterwise linear regression based on smoothing techniques (Q2017840) (← links)
- A heuristic algorithm for solving the minimum sum-of-squares clustering problems (Q2018474) (← links)
- Simple algorithms for optimization on Riemannian manifolds with constraints (Q2019906) (← links)
- Complexity and applications of the homotopy principle for uniformly constrained sparse minimization (Q2019907) (← links)
- Least squares projection twin support vector clustering (LSPTSVC) (Q2023172) (← links)
- Least loss: a simplified filter method for feature selection (Q2023188) (← links)
- Approximate kernel partial least squares (Q2023883) (← links)
- Generalized feature similarity measure (Q2023884) (← links)
- Extreme value theory for anomaly detection -- the GPD classifier (Q2027086) (← links)
- Modal clustering using semiparametric mixtures and mode flattening (Q2029082) (← links)
- Regularizing axis-aligned ensembles via data rotations that favor simpler learners (Q2029102) (← links)
- A kernel-free double well potential support vector machine with applications (Q2029332) (← links)
- Selective linearization for multi-block statistical learning (Q2030520) (← links)
- Convergent inexact penalty decomposition methods for cardinality-constrained problems (Q2031962) (← links)
- FuzzyFeatureRank. Bringing order into fuzzy classifiers through fuzzy expressions (Q2035312) (← links)
- Efficient implicit Lagrangian twin parametric insensitive support vector regression via unconstrained minimization problems (Q2035635) (← links)
- From-below Boolean matrix factorization algorithm based on MDL (Q2036139) (← links)
- A cost-sensitive constrained Lasso (Q2036145) (← links)
- Active learning of constraints for weighted feature selection (Q2036163) (← links)
- Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions (Q2036176) (← links)
- Incremental exemplar learning schemes for classification on embedded devices (Q2036259) (← links)
- A critical analysis of variants of the AUC (Q2036264) (← links)
- Geometric component analysis and its applications to data analysis (Q2036489) (← links)
- Time series motifs discovery under DTW allows more robust discovery of conserved structure (Q2036738) (← links)
- Dataset2Vec: learning dataset meta-features (Q2036744) (← links)
- Time series extrinsic regression. Predicting numeric values from time series data (Q2036749) (← links)
- Pseudoinverse graph convolutional networks. Fast filters tailored for large eigengaps of dense graphs and hypergraphs (Q2036767) (← links)
- Correlations between random projections and the bivariate normal (Q2036781) (← links)
- A new performance evaluation metric for classifiers: polygon area metric (Q2038207) (← links)
- Spherical classification of data, a new rule-based learning method (Q2038210) (← links)
- Affine-transformation invariant clustering models (Q2040902) (← links)
- Consistent regression using data-dependent coverings (Q2044358) (← links)
