The following pages link to UCI-ml (Q16261):
Displaying 50 items.
- A local boosting algorithm for solving classification problems (Q1023522) (← links)
- Developing a feature weight self-adjustment mechanism for a K-means clustering algorithm (Q1023820) (← links)
- Negative correlation in incremental learning (Q1024030) (← links)
- A confidence voting process for ranking problems based on support vector machines (Q1026549) (← links)
- A robust approach based on conditional value-at-risk measure to statistical learning problems (Q1027626) (← links)
- Methods and algorithms of collective recognition (Q1027647) (← links)
- Using a similarity measure for credible classification (Q1028441) (← links)
- MILP approach to pattern generation in logical analysis of data (Q1028471) (← links)
- Feature selection using fuzzy support vector machines (Q1028701) (← links)
- Innovation in the cluster validating techniques (Q1028717) (← links)
- A \(\mathbb R\)eal generalization of discrete AdaBoost (Q1028894) (← links)
- Argument based machine learning (Q1028963) (← links)
- Mining competent case bases for case-based reasoning (Q1028971) (← links)
- Convergence analysis of convex incremental neural networks (Q1029589) (← links)
- Risk-sensitive loss functions for sparse multi-category classification problems (Q1031681) (← links)
- On generalization performance and non-convex optimization of extended \(\nu \)-support vector machine (Q1031941) (← links)
- Computational load reduction in decision functions using support vector machines (Q1032445) (← links)
- Classification of cancer recurrence with alpha-beta BAM (Q1036428) (← links)
- Design of interpretable fuzzy rule-based classifiers using spectral analysis with structure and parameters optimization (Q1037909) (← links)
- Fuzzy connectivity clustering with radial basis kernel functions (Q1037988) (← links)
- A graph b-coloring framework for data clustering (Q1040797) (← links)
- Interval regression analysis using support vector networks (Q1040927) (← links)
- A variable selection method based on Tabu search for logistic regression models (Q1042170) (← links)
- New variants of pairwise classification (Q1042172) (← links)
- A reference model for customer-centric data mining with support vector machines (Q1042173) (← links)
- Naïve possibilistic network classifiers (Q1043312) (← links)
- Support vector machine classification with indefinite kernels (Q1043851) (← links)
- A multi-class large margin classifier (Q1045595) (← links)
- Learning the optimal kernel for Fisher discriminant analysis via second order cone programming (Q1046076) (← links)
- Is an ordinal class structure useful in classifier learning? (Q1046569) (← links)
- Clustering qualitative data based on binary equivalence relations: neighborhood search heuristics for the clique partitioning problem (Q1048651) (← links)
- Newton's method for nonparallel plane proximal classifier with unity norm hyperplanes (Q1048779) (← links)
- Large margin nearest local mean classifier (Q1048802) (← links)
- Wrappers for feature subset selection (Q1127360) (← links)
- Boundary search procedure for the design and training of an ontogenic neural network classifier (Q1265852) (← links)
- Achieving superior generalisation with a high order neural network (Q1271685) (← links)
- Top-down induction of first-order logical decision trees (Q1274285) (← links)
- A probabilistic framework for memory-based reasoning (Q1274693) (← links)
- Learning criteria for training neural network classifiers (Q1290324) (← links)
- Learning by discovering concept hierarchies (Q1292315) (← links)
- Construction of Bayesian network structures from data: A brief survey and an efficient algorithm (Q1346242) (← links)
- Feature analysis through information granulation and fuzzy sets (Q1347721) (← links)
- A hybrid filter/wrapper approach of feature selection using information theory (Q1347722) (← links)
- Logical analysis of numerical data (Q1365054) (← links)
- Improved generalization via tolerant training (Q1389076) (← links)
- Mixed fuzzy rule formation (Q1394968) (← links)
- FS-FOIL: An inductive learning method for extracting interpretable fuzzy descriptions (Q1394973) (← links)
- Enhancement of topology preservation and hierarchical dynamic self-organising maps for data visualisation (Q1394986) (← links)
- Solving the multiple instance problem with axis-parallel rectangles. (Q1399120) (← links)
- Classification by restricted random walks (Q1402697) (← links)
