The following pages link to (Q4261789):
Displaying 50 items.
- Tracking the best hyperplane with a simple budget perceptron (Q1009215) (← links)
- Feature selection via sensitivity analysis of SVM probabilistic outputs (Q1009227) (← links)
- Joint feature re-extraction and classification using an iterative semi-supervised support vector machine algorithm (Q1009249) (← links)
- Efficient approximate leave-one-out cross-validation for kernel logistic regression (Q1009261) (← links)
- A theory of learning with similarity functions (Q1009272) (← links)
- Matrix representations, linear transformations, and kernels for disambiguation in natural language (Q1009314) (← links)
- Adaptive weighting of local classifiers by particle filters for robust tracking (Q1010068) (← links)
- Choosing the kernel parameters for support vector machines by the inter-cluster distance in the feature space (Q1010078) (← links)
- Diversity of ability and cognitive style for group decision processes (Q1010126) (← links)
- A note on application of integral operator in learning theory (Q1012558) (← links)
- Entropy conditions for \(L_{r}\)-convergence of empirical processes (Q1016138) (← links)
- CCH-based geometric algorithms for SVM and applications (Q1016169) (← links)
- On multi-view learning with additive models (Q1018621) (← links)
- Comparison of feature selection and classification algorithms in identifying malicious executables (Q1019947) (← links)
- Kernel logistic PLS: a tool for supervised nonlinear dimensionality reduction and binary classifi\-cation (Q1020063) (← links)
- Support vector machines with adaptive \(L_q\) penalty (Q1020744) (← links)
- Kernel ellipsoidal trimming (Q1020817) (← links)
- Robust learning from bites for data mining (Q1020821) (← links)
- Consistency of support vector machines for forecasting the evolution of an unknown ergodic dynamical system from observations with unknown noise (Q1020982) (← links)
- Analysis of support vector machines regression (Q1022433) (← links)
- Learning from uniformly ergodic Markov chains (Q1023402) (← links)
- New normalization methods using support vector machine quantile regression approach in microarray analysis (Q1023756) (← links)
- Plasmopara viticola germination virulence forecasting via piece-wise affine identification for hybrid systems (Q1026400) (← links)
- A confidence voting process for ranking problems based on support vector machines (Q1026549) (← links)
- A \(\mathbb R\)eal generalization of discrete AdaBoost (Q1028894) (← links)
- Risk-sensitive loss functions for sparse multi-category classification problems (Q1031681) (← links)
- A survey of data mining techniques applied to agriculture (Q1032611) (← links)
- Piece-wise affine identification in dialysis (Q1036655) (← links)
- Semi-automatic dynamic auxiliary-tag-aided image annotation (Q1037821) (← links)
- Fuzzy connectivity clustering with radial basis kernel functions (Q1037988) (← links)
- NML, Bayes and true distributions: a comment on Karabatsos and Walker (2006) (Q1042305) (← links)
- A reliability assessment method based on support vector machines for CNC equipment (Q1045437) (← links)
- High order Parzen windows and randomized sampling (Q1047130) (← links)
- Generalization performance of graph-based semi-supervised classification (Q1047879) (← links)
- Distribution-free consistency of empirical risk minimization and support vector regression (Q1047919) (← links)
- Gradient learning in a classification setting by gradient descent (Q1048984) (← links)
- Application of support vector machine to ship steering (Q1049869) (← links)
- High-order Fisher's discriminant analysis (Q1347622) (← links)
- Bayesian network classifiers (Q1380857) (← links)
- Model selection in nonparametric regression (Q1394765) (← links)
- Towards a robust fuzzy clustering. (Q1398932) (← links)
- Complexity in the case against accuracy estimation (Q1399985) (← links)
- Full-body person recognition system. (Q1400486) (← links)
- Hierarchical classification and feature reduction for fast face detection with support vector machines. (Q1400489) (← links)
- Support vector fuzzy regression machines (Q1406869) (← links)
- Principles of nonparametric learning. Papers from the summer school, Udine, Italy, July 9--13, 2001 (Q1407941) (← links)
- Control of chaotic dynamical systems using support vector machines (Q1409355) (← links)
- A method to make multiple hypotheses with high cumulative recognition rate using SVMs. (Q1425940) (← links)
- Vote counting measures for ensemble classifiers. (Q1425964) (← links)
- Texture classification using the support vector machines. (Q1425982) (← links)
