The following pages link to (Q4261789):
Displaying 50 items.
- Kernels as features: on kernels, margins, and low-dimensional mappings (Q851869) (← links)
- Training a reciprocal-sigmoid classifier by feature scaling-space (Q851878) (← links)
- Image classification with the use of radial basis function neural networks and the minimization of the localized generalization error (Q853089) (← links)
- Face recognition using a kernel fractional-step discriminant analysis algorithm (Q853131) (← links)
- Active learning for image retrieval with Co-SVM (Q853151) (← links)
- Mining evolving data streams for frequent patterns (Q854217) (← links)
- An improved incremental training algorithm for support vector machines using active query (Q856460) (← links)
- A consistency result for functional SVM by spline interpolation (Q857108) (← links)
- An experimental evaluation of some classification methods (Q857794) (← links)
- TWNFI--a transductive neuro-fuzzy inference system with weighted data normalization for personalized modeling (Q858895) (← links)
- A network condition classification scheme for supporting video delivery over wireless internet (Q859034) (← links)
- Complexity of hyperconcepts (Q860806) (← links)
- Stochastic local search for the FEATURE SET problem, with applications to microarray data (Q865564) (← links)
- Regression models for functional data by reproducing kernel Hilbert spaces methods (Q866626) (← links)
- Rough sets: some extensions (Q867595) (← links)
- Matrix-pattern-oriented Ho--Kashyap classifier with regularization learning (Q869046) (← links)
- Bankruptcy prediction in banks and firms via statistical and intelligent techniques -- a review (Q869139) (← links)
- Best subset selection, persistence in high-dimensional statistical learning and optimization under \(l_1\) constraint (Q869974) (← links)
- On regularization algorithms in learning theory (Q870339) (← links)
- Multi-kernel regularized classifiers (Q870343) (← links)
- Splines in higher order TV regularization (Q878255) (← links)
- Binet-Cauchy kernels on dynamical systems and its application to the analysis of dynamic scenes (Q878271) (← links)
- Creating a quality map of a slate deposit using support vector machines (Q879412) (← links)
- Nesting algorithm for multi-classification problems (Q882799) (← links)
- A simple decomposition algorithm for support vector machines with polynomial-time convergence (Q885211) (← links)
- Quadratic kernel-free least squares support vector machine for target diseases classification (Q887869) (← links)
- Noise model based \(\nu\)-support vector regression with its application to short-term wind speed forecasting (Q889277) (← links)
- Pruning of error correcting output codes by optimization of accuracy-diversity trade off (Q890296) (← links)
- Deep learning of support vector machines with class probability output networks (Q890735) (← links)
- Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points (Q893175) (← links)
- Design and performance analysis of deterministic learning of sampled-data nonlinear systems (Q893700) (← links)
- On soft power diagrams (Q894534) (← links)
- Learning theory approach to a system identification problem involving atomic norm (Q895425) (← links)
- Non-negativity constraints on the pre-image for pattern recognition with kernel machines (Q898064) (← links)
- Fixed point iteration in identifying bilinear models (Q899172) (← links)
- On the complexity of piecewise affine system identification (Q901110) (← links)
- Split Bregman method for large scale fused Lasso (Q901530) (← links)
- Low-rank bilinear classification: efficient convex optimization and extensions (Q901815) (← links)
- Aspects in classification learning -- review of recent developments in learning vector quantization (Q902754) (← links)
- Model-driven domain adaptation on product manifolds for unconstrained face recognition (Q903549) (← links)
- Reinforcement learning algorithms with function approximation: recent advances and applications (Q903601) (← links)
- Bootstrap model selection for possibly dependent and heterogeneous data (Q904102) (← links)
- A neural network algorithm to pattern recognition in inverse problems (Q905327) (← links)
- Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection (Q905751) (← links)
- Direct learning of LPV controllers from data (Q905785) (← links)
- On the computational complexity of the minimum committee problem (Q928677) (← links)
- Kernel methods in machine learning (Q930651) (← links)
- Unified eigen analysis on multivariate Gaussian based estimation of distribution algorithms (Q933653) (← links)
- Behavior of a functional in learning theory (Q934356) (← links)
- General support vector representation machine for one-class classification of non-stationary classes (Q936411) (← links)
