The following pages link to SVMlight (Q16263):
Displaying 50 items.
- Growing support vector classifiers with controlled complexity. (Q1403745) (← links)
- Online training of support vector classifier. (Q1403772) (← links)
- Feature extraction and dimensionality reduction algorithms and their applications in vowel recognition. (Q1403806) (← links)
- Authorship attribution with support vector machines (Q1405411) (← links)
- A support vector machine-based dynamic network for visual speech recognition applications (Q1424532) (← links)
- A method to make multiple hypotheses with high cumulative recognition rate using SVMs. (Q1425940) (← links)
- SVM classification: Its contents and challenges (Q1430966) (← links)
- An incomplete Cholesky factorization for dense symmetric positive definite matrices (Q1587315) (← links)
- A comparison of state-of-the-art classification techniques with application to cytogenetics (Q1606623) (← links)
- A comparative study on large scale kernelized support vector machines (Q1630840) (← links)
- Solving the slate tile classification problem using a DAGSVM multiclassification algorithm based on SVM binary classifiers with a one-versus-all approach (Q1644084) (← links)
- A decomposition method for large-scale box constrained optimization (Q1644498) (← links)
- An SVM-like approach for expectile regression (Q1658446) (← links)
- Classify vertebrate hemoglobin proteins by incorporating the evolutionary information into the general PseAAC with the hybrid approach (Q1664426) (← links)
- Smoothly approximated support vector domain description (Q1669703) (← links)
- Consistent algorithms for multiclass classification with an abstain option (Q1697489) (← links)
- A forecast model of the number of containers for containership voyage (Q1712052) (← links)
- Least absolute deviation support vector regression (Q1717816) (← links)
- Optimization approaches to supervised classification (Q1753623) (← links)
- Statistical learning theory for location fingerprinting in wireless LANs (Q1775045) (← links)
- TSVR: an efficient twin support vector machine for regression (Q1784563) (← links)
- DirectSVM: A simple support vector machine perceptron (Q1851199) (← links)
- Robust vision-based features and classification schemes for off-line handwritten digit recognition (Q1860209) (← links)
- Mean field method for the support vector machine regression (Q1860296) (← links)
- Hybrid wavelet-support vector classification of waveforms (Q1860453) (← links)
- Nonlinear feature extraction based on centroids and kernel functions (Q1886659) (← links)
- Margin maximization in spherical separation (Q1928756) (← links)
- Shape-based object detection via boundary structure segmentation (Q1931604) (← links)
- Robust support vector regression in the primal (Q1932127) (← links)
- A coordinate descent margin based-twin support vector machine for classification (Q1943043) (← links)
- Fast support vector machines for convolution tree kernels (Q1944994) (← links)
- Sparse kernel SVMs via cutting-plane training (Q1959504) (← links)
- Cutting-plane training of structural SVMs (Q1959520) (← links)
- Periodic step-size adaptation in second-order gradient descent for single-pass on-line structured learning (Q1959528) (← links)
- A predictor-corrector affine scaling method to train optimized extreme learning machine (Q2071232) (← links)
- A review on instance ranking problems in statistical learning (Q2127240) (← links)
- A new parallel data geometry analysis algorithm to select training data for support vector machine (Q2142956) (← links)
- Fast quantile regression in reproducing kernel Hilbert space (Q2151599) (← links)
- Support vector machines for prediction of protein domain structural class (Q2177101) (← links)
- Cooperativity of the oxidization of cysteines in globular proteins (Q2186542) (← links)
- Handling subjective information through augmented (fuzzy) computation (Q2219194) (← links)
- A generalized Newton algorithm for quantile regression models (Q2259794) (← links)
- TPMSVM: A novel twin parametric-margin support vector machine for pattern recognition (Q2276011) (← links)
- Exploiting coding theory for classification: an LDPC-based strategy for multiclass-to-binary decomposition (Q2279665) (← links)
- Efficient learning of supervised kernels with a graph-based loss function (Q2282120) (← links)
- Efficient decision trees for multi-class support vector machines using entropy and generalization error estimation (Q2316469) (← links)
- Machine learning for first-order theorem proving (Q2351414) (← links)
- Fast projected gradient method for support vector machines (Q2358069) (← links)
- Learning payoff functions in infinite games (Q2384147) (← links)
- Chou's pseudo amino acid composition improves sequence-based antifreeze protein prediction (Q2415547) (← links)
