The following pages link to UCI-ml (Q16261):
Displaying 50 items.
- A survey on semi-supervised learning (Q2303675) (← links)
- On the logistic behaviour of the topological ultrametricity of data (Q2304071) (← links)
- MCC: a multiple consensus clustering framework (Q2304083) (← links)
- The \(\delta \)-machine: classification based on distances towards prototypes (Q2304085) (← links)
- Quantum-behaved particle swarm optimization for parameter optimization of support vector machine (Q2304094) (← links)
- Using Ramsey theory to measure unavoidable spurious correlations in big data (Q2306149) (← links)
- Hyper-parameter optimization for support vector machines using stochastic gradient descent and dual coordinate descent (Q2308188) (← links)
- Construction of the similarity matrix for the spectral clustering method: numerical experiments (Q2309260) (← links)
- Dynamic maintenance case base using knowledge discovery techniques for case based reasoning systems (Q2309405) (← links)
- A binary water wave optimization for feature selection (Q2310291) (← links)
- A heuristic representation learning based on evidential memberships: case study of UCI-SPECTF (Q2310294) (← links)
- Detecting outliers in categorical data through rough clustering (Q2311236) (← links)
- Partition based real-valued encoding scheme for evolutionary algorithms (Q2311254) (← links)
- Gradient-based optimization for regression in the functional tensor-train format (Q2312177) (← links)
- A difference of convex optimization algorithm for piecewise linear regression (Q2313774) (← links)
- Exploiting multi-core and many-core parallelism for subspace clustering (Q2314529) (← links)
- Constrained spectral clustering via multi-layer graph embeddings on a Grassmann manifold (Q2314534) (← links)
- A novel framework for the NMF methods with experiments to unmixing signals and feature representation (Q2315877) (← links)
- Efficient decision trees for multi-class support vector machines using entropy and generalization error estimation (Q2316469) (← links)
- Comparison of prototype selection algorithms used in construction of neural networks learned by SVD (Q2316470) (← links)
- Clustering based on eigenvectors of the adjacency matrix (Q2316476) (← links)
- Optimization on the complementation procedure towards efficient implementation of the index generation function (Q2316478) (← links)
- A new chaotic whale optimization algorithm for features selection (Q2317175) (← links)
- A novel honey-bees mating optimization approach with higher order neural network for classification (Q2317186) (← links)
- Jackknife empirical likelihood methods for gini correlations and their equality testing (Q2317239) (← links)
- Estimating a sharp convergence bound for randomized ensembles (Q2317334) (← links)
- A partially inexact proximal alternating direction method of multipliers and its iteration-complexity analysis (Q2317847) (← links)
- Belief-based chaotic algorithm for support vector data description (Q2318255) (← links)
- Evidential joint calibration of binary SVM classifiers (Q2318267) (← links)
- Hamiltonian Monte Carlo based on evidence framework for Bayesian learning to neural network (Q2318269) (← links)
- A safe screening rule for accelerating weighted twin support vector machine (Q2318604) (← links)
- \texttt{OpenML}: an \texttt{R} package to connect to the machine learning platform OpenML (Q2319473) (← links)
- Sparse kernel deep stacking networks (Q2319474) (← links)
- A Riemannian gossip approach to subspace learning on Grassmann manifold (Q2320541) (← links)
- Nuclear discrepancy for single-shot batch active learning (Q2320585) (← links)
- Classification with support vector machines and Kolmogorov-Smirnov bounds (Q2320906) (← links)
- Supervised heterogeneous feature transfer via random forests (Q2321263) (← links)
- Item response theory in AI: analysing machine learning classifiers at the instance level (Q2321286) (← links)
- Clustering ensemble based on sample's stability (Q2321297) (← links)
- Analogy between concepts (Q2321339) (← links)
- Subspace clustering for the finite mixture of generalized hyperbolic distributions (Q2324252) (← links)
- On support vector machines under a multiple-cost scenario (Q2324253) (← links)
- Estimating transformation function (Q2326051) (← links)
- Unsupervised quadratic surface support vector machine with application to credit risk assessment (Q2327637) (← links)
- \(T\)-generable indistinguishability operators and their use for feature selection and classification (Q2328895) (← links)
- Possibilistic keys (Q2329094) (← links)
- Minimum spectral connectivity projection pursuit. Divisive clustering using optimal projections for spectral clustering (Q2329774) (← links)
- Learning Bayesian networks from big data with greedy search: computational complexity and efficient implementation (Q2329824) (← links)
- An improvement on parametric \(\nu\)-support vector algorithm for classification (Q2329896) (← links)
- Relaxed support vector regression (Q2329900) (← links)
