Pages that link to "Item:Q4897072"
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The following pages link to Breast Cancer Diagnosis and Prognosis Via Linear Programming (Q4897072):
Displaying 50 items.
- Dimensionally reduced model-based clustering through mixtures of factor mixture analyzers (Q286628) (← links)
- Bias-variance decomposition in genetic programming (Q317833) (← links)
- Simultaneous predictive Gaussian classifiers (Q318139) (← links)
- Solving the classification problem using \(\varepsilon\)-nets (Q333577) (← links)
- Supervised classification and mathematical optimization (Q339559) (← links)
- A novel statistical approach for detection of suspicious regions in digital mammogram (Q392264) (← links)
- Supersparse linear integer models for optimized medical scoring systems (Q506427) (← links)
- Node harvest (Q542973) (← links)
- A mathematical programming based procedure for breast cancer classification (Q655188) (← links)
- Model-based clustering, classification, and discriminant analysis via mixtures of multivariate \(t\)-distributions (Q693333) (← links)
- A cutting plane algorithm for semi-definite programming problems with applications to failure discriminant analysis (Q697556) (← links)
- Ensemble strategies for a medical diagnostic decision support system: A breast cancer diagnosis application (Q706940) (← links)
- Nonlinear modeling with mammographic evidence of carcinoma (Q708603) (← links)
- A support vector machine-based ensemble algorithm for breast cancer diagnosis (Q723956) (← links)
- Conditional minimum volume ellipsoid with application to multiclass discrimination (Q732238) (← links)
- On detecting nonlinear patterns in discriminant problems (Q819313) (← links)
- A successive linear approximation algorithm for the global minimization of a concave quadratic program (Q827382) (← links)
- Breast cancer prediction using the isotonic separation technique (Q877069) (← links)
- On the time series support vector machine using dynamic time warping kernel for brain activity classification (Q946725) (← links)
- A tabu search with an oscillation strategy for the discriminant analysis problem (Q976027) (← links)
- Optimization of neural networks: A comparative analysis of the genetic algorithm and simulated annealing (Q1124721) (← links)
- Improved generalization via tolerant training (Q1389076) (← links)
- Mixtures of common \(t\)-factor analyzers for modeling high-dimensional data with missing values (Q1623795) (← links)
- Clustering, classification, discriminant analysis, and dimension reduction via generalized hyperbolic mixtures (Q1659365) (← links)
- Optimization approaches to supervised classification (Q1753623) (← links)
- On optimal pairwise linear classifiers for normal distributions: The \(d\)-dimensional case (Q1856628) (← links)
- Breast cancer detection using rank nearest neighbor classification rules (Q1856630) (← links)
- Hybrid misclassification minimization (Q1923883) (← links)
- Wavelet-based estimation of generalized discriminant functions (Q2049568) (← links)
- Extreme clustering -- a clustering method via density extreme points (Q2053851) (← links)
- Regularized matrix-variate logistic regression with response subject to misclassification (Q2059430) (← links)
- Stitch fix for mapper and topological gains (Q2080101) (← links)
- Polyhedral separation via difference of convex (DC) programming (Q2100399) (← links)
- A branch \& bound algorithm to determine optimal cross-splits for decision tree induction (Q2188762) (← links)
- A weighted framework for unsupervised ensemble learning based on internal quality measures (Q2329902) (← links)
- Kernel-based mixture models for classification (Q2354731) (← links)
- A new efficient algorithm based on DC programming and DCA for clustering (Q2385500) (← links)
- Mixture model averaging for clustering (Q2418395) (← links)
- Heuristic approaches for support vector machines with the ramp loss (Q2448185) (← links)
- A test for multivariate skew-normality based on its canonical form (Q2451616) (← links)
- Breast tumor susceptibility to chemotherapy via support vector machines (Q2468366) (← links)
- Support vector machine as an efficient framework for stock market volatility forecasting (Q2468372) (← links)
- Subset-conjunctive rules for breast cancer diagnosis (Q2489654) (← links)
- A constraint generation algorithm for large scale linear programs using multiple-points separation (Q2492707) (← links)
- Bayesian approach to feature selection and parameter tuning for support vector machine classifiers (Q2568024) (← links)
- Breast cancer detection from FNA using SVM with different parameter tuning systems and SOM-RBF classifier (Q2642220) (← links)
- Parameter spaces of separating hyperplanes (Q2808298) (← links)
- Probability-enhanced sufficient dimension reduction for binary classification (Q2927603) (← links)
- An MLE strategy for combining optimally pruned decision trees (Q3297946) (← links)
- Nonlinear algorithm of pattern recognition for computer-aided diagnosis of breast cancer (Q4378806) (← links)
