The following pages link to UCI-ml (Q16261):
Displaying 50 items.
- Novel high intrinsic dimensionality estimators (Q1945123) (← links)
- Sequential approaches for learning datum-wise sparse representations (Q1945129) (← links)
- A novel piecewise linear classifier based on polyhedral conic and max-min separabilities (Q1948524) (← links)
- The global \(k\)-means clustering analysis based on multi-granulations nearness neighborhood (Q1948567) (← links)
- Data-driven density derivative estimation, with applications to nonparametric clustering and bump hunting (Q1951124) (← links)
- Variable selection and sensitivity analysis using dynamic trees, with an application to computer code performance tuning (Q1951519) (← links)
- Robust VIF regression with application to variable selection in large data sets (Q1951534) (← links)
- Regression trees for longitudinal and multiresponse data (Q1951544) (← links)
- Forest Garrote (Q1952025) (← links)
- Two proposals for robust PCA using semidefinite programming (Q1952221) (← links)
- An efficient self-organizing RBF neural network for water quality prediction (Q1952552) (← links)
- Evolutionary \(q\)-Gaussian radial basis function neural networks for multiclassification (Q1952564) (← links)
- Applying randomness effectively based on random forests for classification task of datasets of insufficient information (Q1952805) (← links)
- Parameterized local reduction of decision systems (Q1952964) (← links)
- Improving the solution of least squares support vector machines with application to a blast furnace system (Q1952998) (← links)
- A corporate credit rating model using support vector domain combined with fuzzy clustering algorithm (Q1954637) (← links)
- An adaptive fuzzy min-max neural network classifier based on principle component analysis and adaptive genetic algorithm (Q1954828) (← links)
- LCMine: An efficient algorithm for mining discriminative regularities and its application in supervised classification (Q1957858) (← links)
- Reduction of processing time for optimal and quadratic discriminant analyses (Q1957878) (← links)
- Data compression by volume prototypes for streaming data (Q1957882) (← links)
- Learning multi-linear representations of distributions for efficient inference (Q1959506) (← links)
- A self-training approach to cost sensitive uncertainty sampling (Q1959514) (← links)
- Anytime classification for a pool of instances (Q1959521) (← links)
- Cluster-grouping: from subgroup discovery to clustering (Q1959523) (← links)
- Pointwise exact bootstrap distributions of ROC curves (Q1959544) (← links)
- Methods for the combination of kernel matrices within a support vector framework (Q1959546) (← links)
- A comparison of pruning criteria for probability trees (Q1959552) (← links)
- On the quest for optimal rule learning heuristics (Q1959556) (← links)
- A cooperative coevolutionary algorithm for instance selection for instance-based learning (Q1959558) (← links)
- Finding a short and accurate decision rule in disjunctive normal form by exhaustive search (Q1959589) (← links)
- Classification with guaranteed probability of error (Q1959590) (← links)
- Algorithms for optimal dyadic decision trees (Q1959591) (← links)
- On the eigenvectors of \(p\)-Laplacian (Q1959607) (← links)
- Learning to classify with missing and corrupted features (Q1959617) (← links)
- Bayesian instance selection for the nearest neighbor rule (Q1959627) (← links)
- Unsupervised stratification of cross-validation for accuracy estimation (Q1978232) (← links)
- The generalized test collection problem (Q1979174) (← links)
- Feature selection based on fuzzy joint mutual information maximization (Q1980066) (← links)
- Extracting Boolean and probabilistic rules from trained neural networks (Q1980413) (← links)
- An alternating direction method of multipliers with the BFGS update for structured convex quadratic optimization (Q1983931) (← links)
- Insuring against the perils in distributed learning: privacy-preserving empirical risk minimization (Q1984031) (← links)
- An efficient binary gradient-based optimizer for feature selection (Q1984140) (← links)
- Hyper nonlocal priors for variable selection in generalized linear models (Q1987723) (← links)
- A comparative study of the leading machine learning techniques and two new optimization algorithms (Q1991232) (← links)
- BNC-PSO: structure learning of Bayesian networks by particle swarm optimization (Q1991849) (← links)
- Dominance-based rough set approach to incomplete ordered information systems (Q1991872) (← links)
- Computing exact permutation \(p\)-values for association rules (Q1991875) (← links)
- Knowledge reduction of dynamic covering decision information systems when varying covering cardinalities (Q1991878) (← links)
- Improving localized multiple kernel learning via radius-margin bound (Q1992765) (← links)
- Partial possibilistic regression path modeling: handling uncertainty in path modeling (Q1995866) (← links)
