The following pages link to UCI-ml (Q16261):
Displaying 50 items.
- IRAHC: instance reduction algorithm using hyperrectangle clustering (Q1677859) (← links)
- Fuzzy C-means clustering based on dual expression between cluster prototypes and reconstructed data (Q1678450) (← links)
- Greedy approaches to semi-supervised subspace learning (Q1678697) (← links)
- A center sliding Bayesian binary classifier adopting orthogonal polynomials (Q1678700) (← links)
- Improved support vector machine algorithm for heterogeneous data (Q1678705) (← links)
- A relative decision entropy-based feature selection approach (Q1678710) (← links)
- Independent component analysis for tensor-valued data (Q1679572) (← links)
- Analogy-based classifiers for nominal or numerical data (Q1679644) (← links)
- Knowledge transfer in SVM and neural networks (Q1680840) (← links)
- Conformal decision-tree approach to instance transfer (Q1680847) (← links)
- Accelerating difficulty estimation for conformal regression forests (Q1680848) (← links)
- High dimensional data classification and feature selection using support vector machines (Q1681156) (← links)
- A fast heuristic attribute reduction approach to ordered decision systems (Q1681488) (← links)
- A novel sequence space related to \(\mathcal{L}_{p}\) defined by Orlicz function with application in pattern recognition (Q1684619) (← links)
- Data filtering for cluster analysis by \(\ell _0\)-norm regularization (Q1686543) (← links)
- On conditional truncated densities Bayesian networks (Q1687280) (← links)
- Feature selection using rough set-based direct dependency calculation by avoiding the positive region (Q1687283) (← links)
- On pruning with the MDL score (Q1687302) (← links)
- UC-LTM: unidimensional clustering using latent tree models for discrete data (Q1687305) (← links)
- Approximate ADMM algorithms derived from Lagrangian splitting (Q1687316) (← links)
- Evaluating balancing on social networks through the efficient solution of correlation clustering problems (Q1688940) (← links)
- Multi-target regression via input space expansion: treating targets as inputs (Q1689552) (← links)
- Commentary: A decomposition of the outlier detection problem into a set of supervised learning problems (Q1689575) (← links)
- Expected similarity estimation for large-scale batch and streaming anomaly detection (Q1689600) (← links)
- Context-based unsupervised ensemble learning and feature ranking (Q1689607) (← links)
- An optimized k-harmonic means algorithm combined with modified particle swarm optimization and Cuckoo Search algorithm (Q1692073) (← links)
- Totally optimal decision rules (Q1693173) (← links)
- A new robust classifier on noise domains: bagging of Credal C4.5 trees (Q1694254) (← links)
- Multi-stage optimization of decision and inhibitory trees for decision tables with many-valued decisions (Q1694833) (← links)
- New diagonal bundle method for clustering problems in large data sets (Q1694910) (← links)
- Modeling threshold interaction effects through the logistic classification trunk (Q1695093) (← links)
- Improving SVM classification on imbalanced datasets by introducing a new bias (Q1695096) (← links)
- Tunable equivalence fuzzy associative memories (Q1697348) (← links)
- Feature-weighted clustering with inner product induced norm based dissimilarity measures: an optimization perspective (Q1697916) (← links)
- Projected estimators for robust semi-supervised classification (Q1697918) (← links)
- Learning deep kernels in the space of dot product polynomials (Q1698830) (← links)
- Efficient parameter learning of Bayesian network classifiers (Q1698835) (← links)
- Vine copulas for mixed data: multi-view clustering for mixed data beyond meta-Gaussian dependencies (Q1698838) (← links)
- Lexicographic preferences for predictive modeling of human decision making: a new machine learning method with an application in accounting (Q1698914) (← links)
- On the median in imprecise ordinal problems (Q1699151) (← links)
- Big data: from collection to visualization (Q1699628) (← links)
- A new branch-and-bound approach to semi-supervised support vector machine (Q1699749) (← links)
- Relational data factorization (Q1699908) (← links)
- Bootstrap bias corrections for ensemble methods (Q1702284) (← links)
- Convex variational methods on graphs for multiclass segmentation of high-dimensional data and point clouds (Q1702637) (← links)
- Object selection in credit scoring using covariance matrix of parameters estimations (Q1703531) (← links)
- Hamiltonian Monte Carlo acceleration using surrogate functions with random bases (Q1703832) (← links)
- Langevin incremental mixture importance sampling (Q1703855) (← links)
- A transportation \(L^p\) distance for signal analysis (Q1703946) (← links)
- DC programming algorithm for clusterwise linear \(L_1\) regression (Q1706682) (← links)
