The following pages link to 10.1162/153244303322753742 (Q4827825):
Displaying 41 items.
- Linear feature-weighted support vector machine (Q376751) (← links)
- Exploring the role of graph spectra in graph coloring algorithm performance (Q403572) (← links)
- A linear discriminant analysis method based on mutual information maximization (Q621089) (← links)
- A compact local binary pattern using maximization of mutual information for face analysis (Q621985) (← links)
- Information theoretic hierarchical clustering (Q657546) (← links)
- Supervised principal component analysis: visualization, classification and regression on subspaces and submanifolds (Q716365) (← links)
- An estimate of mutual information that permits closed-form optimisation (Q742718) (← links)
- Regularized discriminant entropy analysis (Q898335) (← links)
- Aspects in classification learning -- review of recent developments in learning vector quantization (Q902754) (← links)
- An efficient discriminant-based solution for small sample size problem (Q1010095) (← links)
- Time-efficient estimation of conditional mutual information for variable selection in classification (Q1623393) (← links)
- Canonical kernel dimension reduction (Q1658489) (← links)
- Simplified information maximization for improving generalization performance in multilayered neural networks (Q1792925) (← links)
- A self-consistent-field iteration for MAXBET with an application to multi-view feature extraction (Q2124749) (← links)
- Selective ensemble of SVDDs with Renyi entropy based diversity measure (Q2289595) (← links)
- A sequential ensemble clusterings generation algorithm for mixed data (Q2335580) (← links)
- Information-theoretic approaches to SVM feature selection for metagenome read classification (Q2362468) (← links)
- A novel image thresholding method based on Parzen window estimate (Q2384960) (← links)
- Embedded variable selection method using signomial classification (Q2400010) (← links)
- Overfitting in linear feature extraction for classification of high-dimensional image data (Q2416963) (← links)
- Approximate information discriminant analysis: A computationally simple heteroscedastic feature extraction technique (Q2476565) (← links)
- Improved learning of Riemannian metrics for exploratory analysis (Q2485231) (← links)
- Spectral feature projections that maximize Shannon mutual information with class labels (Q2495917) (← links)
- Comparison of relevance learning vector quantization with other metric adaptive classification methods (Q2507321) (← links)
- An information theory based learning paradigm for linear feature extraction (Q2563856) (← links)
- Comprehensibility maximization and humanly comprehensible representations (Q2862325) (← links)
- Divergence-Based Vector Quantization (Q3015458) (← links)
- A Conditional Entropy Minimization Criterion for Dimensionality Reduction and Multiple Kernel Learning (Q3057231) (← links)
- Constrained information maximization by free energy minimization (Q3111171) (← links)
- Information enhancement for interpreting competitive learning (Q3163023) (← links)
- Information Enhancement Learning: Local Enhanced Information to Detect the Importance of Input Variables in Competitive Learning (Q3405710) (← links)
- Robust Independent Component Analysis Using Quadratic Negentropy (Q3608550) (← links)
- Information-Theoretic Representation Learning for Positive-Unlabeled Classification (Q5004294) (← links)
- Using relative von Neumann and Shannon entropies for feature fusion (Q5026869) (← links)
- A Regularized Correntropy Framework for Robust Pattern Recognition (Q5198613) (← links)
- Similarity interaction in information-theoretic self-organizing maps (Q5326143) (← links)
- Sufficient Dimension Reduction via Squared-Loss Mutual Information Estimation (Q5327187) (← links)
- Density-Difference Estimation (Q5378275) (← links)
- Direct Estimation of the Derivative of Quadratic Mutual Information with Application in Supervised Dimension Reduction (Q5380831) (← links)
- Probabilistic Learning Vector Quantization with Cross-Entropy for Probabilistic Class Assignments in Classification Learning (Q5881518) (← links)
- Functional sufficient dimension reduction through information maximization with application to classification (Q6662613) (← links)
