The following pages link to (Q4261789):
Displaying 50 items.
- An improved working set selection for SMO-type decomposition method (Q708545) (← links)
- A meta-heuristic approach for improving the accuracy in some classification algorithms (Q709124) (← links)
- Ranked linear models and sequential patterns recognition (Q710616) (← links)
- Feature selection and machine learning with mass spectrometry data for distinguishing cancer and non-cancer samples (Q713690) (← links)
- Towards a theoretical foundation for morphological computation with compliant bodies (Q714162) (← links)
- Interactive information systems: toward perception based computing (Q714829) (← links)
- A set of new Chebyshev kernel functions for support vector machine pattern classification (Q716373) (← links)
- Concentration estimates for the moving least-square method in learning theory (Q719353) (← links)
- Learning vector quantization classifiers for ROC-optimization (Q722718) (← links)
- A new support vector machine plus with pinball loss (Q724600) (← links)
- Alternative second-order cone programming formulations for support vector classification (Q726156) (← links)
- Statistical analysis of the moving least-squares method with unbounded sampling (Q726158) (← links)
- A sparse grid based method for generative dimensionality reduction of high-dimensional data (Q729476) (← links)
- Iterative feature selection in least square regression estimation (Q731450) (← links)
- On selection of kernel parametes in relevance vector machines for hydrologic applications (Q732723) (← links)
- Fully automatic and segmentation-robust classification of breast tumors based on local texture analysis of ultrasound images (Q733178) (← links)
- Sequence-based predictor of ATP-binding residues using random forest and mrmr-IFS feature selection (Q739661) (← links)
- Computational evaluation of different numerical tools for the prediction of proximal femur loads from bone morphology (Q741933) (← links)
- Semiparametric least squares support vector machine for accelerated failure time model (Q744593) (← links)
- Relaxing support vectors for classification (Q744716) (← links)
- Machine learning feature selection methods for landslide susceptibility mapping (Q745733) (← links)
- Prediction-based regularization using data augmented regression (Q746200) (← links)
- Another look at linear programming for feature selection via methods of regularization (Q746339) (← links)
- Generalization bounds for learning with linear, polygonal, quadratic and conic side knowledge (Q747246) (← links)
- Improving classification performance through selective instance completion (Q747264) (← links)
- Multiple neural network integration using a binary decision tree to improve the ECG signal recognition accuracy (Q747423) (← links)
- A possibilistic clustering approach toward generative mixture models (Q763363) (← links)
- Multiplicative update rules for incremental training of multiclass support vector machines (Q763365) (← links)
- On signal representations within the Bayes decision framework (Q763367) (← links)
- Comparison of the data classification approaches to diagnose spinal cord injury (Q764221) (← links)
- A hidden Markov model with dependence jumps for predictive modeling of multidimensional time-series (Q778379) (← links)
- A twin-hyperspheres support vector machine with automatic variable weights for data classification (Q778452) (← links)
- \(L_1\)-norm loss-based projection twin support vector machine for binary classification (Q780098) (← links)
- Scalable Gaussian kernel support vector machines with sublinear training time complexity (Q780936) (← links)
- SSC-EKE: semi-supervised classification with extensive knowledge exploitation (Q781002) (← links)
- Double regularization methods for robust feature selection and SVM classification via DC programming (Q781867) (← links)
- Sparse polynomial chaos expansions using variational relevance vector machines (Q781971) (← links)
- On the smallest possible dimension and the largest possible margin of linear arrangements representing given concept classes (Q817830) (← links)
- Managing randomization in the multi-block alternating direction method of multipliers for quadratic optimization (Q823888) (← links)
- Elements of randomized forecasting and its application to daily electrical load prediction in a regional power system (Q828102) (← links)
- A line search penalty-free method for nonlinear second-order cone programming (Q829562) (← links)
- Generalization performance of Lagrangian support vector machine based on Markov sampling (Q830752) (← links)
- Multi-objective optimization based on meta-modeling by using support vector regression (Q833457) (← links)
- Obscure bleeding detection in endoscopy images using support vector machines (Q833461) (← links)
- Support vector machine based aerodynamic analysis of cable stayed bridges (Q834212) (← links)
- Classification using least squares support vector machine for reliability analysis (Q842742) (← links)
- Efficiency of classification methods based on empirical risk minimization (Q844356) (← links)
- Tight bounds for the probability of overfitting (Q845486) (← links)
- Strategy optimization for controlled Markov process with descriptive complexity constraint (Q848403) (← links)
- Prospects of quantum-classical optimization for digital design (Q849768) (← links)
