The following pages link to John Shawe-Taylor (Q216252):
Displaying 50 items.
- Sparse canonical correlation analysis (Q415611) (← links)
- Convergence analysis of kernel canonical correlation analysis: theory and practice (Q1009310) (← links)
- Handbook for the GREAT08 challenge: an image analysis competition for cosmological lensing (Q1018598) (← links)
- Automorphism groups of primitive distance-bitransitive graphs are almost simple (Q1095152) (← links)
- Search for minimal trivalent cycle permutation graphs with girth nine (Q1151407) (← links)
- An approximate string-matching algorithm (Q1190457) (← links)
- Bounding sample size with the Vapnik-Chervonenkis dimension (Q1209149) (← links)
- A result of Vapnik with applications (Q1314333) (← links)
- Erratum: A result of Vapnik with applications (Q1331897) (← links)
- Coverings of complete bipartite graphs and associated structures (Q1339873) (← links)
- A sufficient condition for polynomial distribution-dependent learnability (Q1364775) (← links)
- Enlarging the margins in perceptron decision trees (Q1592372) (← links)
- High-probability minimax probability machines (Q1699630) (← links)
- Distance-regularised graphs are distance-regular or distance-biregular (Q1821114) (← links)
- Edge-colorability of graph bundles (Q1835926) (← links)
- Sample sizes for threshold networks with equivalences (Q1891134) (← links)
- On specifying Boolean functions by labelled examples (Q1897365) (← links)
- Representation theory and invariant neural networks (Q1923600) (← links)
- Tighter PAC-Bayes bounds through distribution-dependent priors (Q1939259) (← links)
- Decomposing the tensor kernel support vector machine for neuroscience data with structured labels (Q1959560) (← links)
- Complexity of pattern classes and the Lipschitz property (Q2381580) (← links)
- Estimating the support of a high-dimensional distribution (Q2746407) (← links)
- An introduction to support vector machines and other kernel-based learning methods. (Q2755103) (← links)
- (Q2779818) (← links)
- Fast string matching in stationary ergodic sources (Q2785374) (← links)
- Sparse semi-supervised learning using conjugate functions (Q2896151) (← links)
- PAC-Bayesian Inequalities for Martingales (Q2989669) (← links)
- Prior Knowledge in Learning Finite Parameter Spaces (Q2999269) (← links)
- (Q3093300) (← links)
- (Q3093406) (← links)
- (Q3174164) (← links)
- Sample sizes for multiple-output threshold networks (Q3212318) (← links)
- (Q3220601) (← links)
- Data Dependent Priors in PAC-Bayes Bounds (Q3298469) (← links)
- (Q3323992) (← links)
- On the Eigenspectrum of the Gram Matrix and the Generalization Error of Kernel-PCA (Q3547627) (← links)
- (Q3575762) (← links)
- (Q3665146) (← links)
- (Q3693541) (← links)
- Cubic Distance-Regular Graphs (Q3697043) (← links)
- (Q3778780) (← links)
- The Spectral Radius of infinite Graphs (Q3824448) (← links)
- Homeomorphism of 2-Complexes is Graph Isomorphism Complete (Q4286232) (← links)
- Using the Perceptron Algorithm to Find Consistent Hypotheses (Q4290090) (← links)
- A unifying framework for invariant pattern recognition (Q4336511) (← links)
- (Q4420632) (← links)
- (Q4420737) (← links)
- Covering numbers for support vector machines (Q4544779) (← links)
- (Q4546602) (← links)
- (Q4547453) (← links)
