The following pages link to 10.1162/153244302760200687 (Q4779562):
Displaying 45 items.
- Kernel-based methods to identify overlapping clusters with linear and nonlinear boundaries (Q269541) (← links)
- Versatile string kernels (Q391141) (← links)
- Languages as hyperplanes: grammatical inference with string kernels (Q413838) (← links)
- Probabilistic neural network with homogeneity testing in recognition of discrete patterns set (Q461159) (← links)
- Concordance and consensus (Q545367) (← links)
- Regularizing multiple kernel learning using response surface methodology (Q609194) (← links)
- Ideal regularization for learning kernels from labels (Q889267) (← links)
- Kernel methods for learning languages (Q950199) (← links)
- Kernel-based machine learning for fast text mining in R (Q962255) (← links)
- Conversion of categorical variables into numerical variables via Bayesian network classifiers for binary classifications (Q962381) (← links)
- One-class SVMs challenges in audio detection and classification applications (Q966918) (← links)
- Text data mining: theory and methods (Q975565) (← links)
- Matrix representations, linear transformations, and kernels for disambiguation in natural language (Q1009314) (← links)
- Lambda pruning: an approximation of the string subsequence kernel for practical SVM classification and redundancy clustering (Q1042630) (← links)
- Efficient geometric-based computation of the string subsequence kernel (Q1741246) (← links)
- Optimization approaches to supervised classification (Q1753623) (← links)
- Dealing with large diagonals in kernel matrices (Q1881406) (← links)
- Least-squares two-sample test (Q1952558) (← links)
- Semi-supervised local Fisher discriminant analysis for dimensionality reduction (Q1959540) (← links)
- Fast learning of relational kernels (Q1959554) (← links)
- Mixture of multivariate Gaussian processes for classification of irregularly sampled satellite image time-series (Q2080360) (← links)
- Component-based discriminative classification for hidden Markov models (Q2270735) (← links)
- Eigendecompositions of transfer operators in reproducing kernel Hilbert spaces (Q2303767) (← links)
- Invariant kernel functions for pattern analysis and machine learning (Q2384155) (← links)
- Far-field compression for fast kernel summation methods in high dimensions (Q2397164) (← links)
- Modeling sequence evolution with kernel methods (Q2475615) (← links)
- Edit distance-based kernel functions for structural pattern classification (Q2498678) (← links)
- Comparison of relevance learning vector quantization with other metric adaptive classification methods (Q2507321) (← links)
- Speech recognition by composition of weighted finite automata (Q2573070) (← links)
- From Hopfield nets to recursive networks to graph machines: numerical machine learning for structured data (Q2575085) (← links)
- Factor and Subsequence Kernels and Signatures of Rational Languages (Q2914720) (← links)
- (Q2951695) (← links)
- Large-Scale Training of SVMs with Automata Kernels (Q3073616) (← links)
- DISCOVERING ROBUST EMBEDDINGS IN (DIS)SIMILARITY SPACE FOR HIGH-DIMENSIONAL LINGUISTIC FEATURES (Q3462273) (← links)
- Subsequence Invariants (Q3541017) (← links)
- Kernels for sequentially ordered data (Q4633041) (← links)
- (Q4636985) (← links)
- (Q4969089) (← links)
- (Q4999003) (← links)
- Sufficient Dimension Reduction via Squared-Loss Mutual Information Estimation (Q5327187) (← links)
- Information-Maximization Clustering Based on Squared-Loss Mutual Information (Q5378312) (← links)
- Learning with Kernels and Logical Representations (Q5452022) (← links)
- Weighted signature kernels (Q6126115) (← links)
- Gaussian process regression and classification using international classification of disease codes as covariates (Q6548878) (← links)
- Document clustering (Q6602383) (← links)
