Pages that link to "Item:Q2525497"
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The following pages link to Theoretical foundations of the potential function method in pattern recognition learning (Q2525497):
Displaying 26 items.
- A bio-basis function neural network for protein peptide cleavage activity characterisation (Q2507296) (← links)
- Perceptron type learning algorithms in nonseparable situations (Q2533132) (← links)
- Adaptive credit scoring with kernel learning methods (Q2643984) (← links)
- Nonlinear dimension reduction for conditional quantiles (Q2673348) (← links)
- Theory of Classification: a Survey of Some Recent Advances (Q3373749) (← links)
- Motion Feature Combination for Human Action Recognition in Video (Q3612847) (← links)
- On the L 1 convergence of kernel estimators of regression functions with applications in discrimination (Q4179695) (← links)
- Learning Intelligent Controls in High Speed Networks: Synergies of Computational Intelligence with Control and Q-Learning Theories (Q4558947) (← links)
- Another Look at Distance-Weighted Discrimination (Q4603806) (← links)
- A stable hyperparameter selection for the Gaussian RBF kernel for discrimination (Q4969712) (← links)
- A Comparative Study on Machine Learning Techniques for Intense Convective Rainfall Events Forecasting (Q5048369) (← links)
- Faster Support Vector Machines (Q5102061) (← links)
- Kernel Treelets (Q5237486) (← links)
- An approach to the Gaussian RBF kernels via Fock spaces (Q5884798) (← links)
- Deep learning: a statistical viewpoint (Q5887827) (← links)
- Hadamard powers and kernel perceptrons (Q6103360) (← links)
- The emergence of fuzzy sets in the decade of the perceptron -- Lotfi A. Zadeh's and Frank Rosenblatt's research work on pattern classification (Q6104290) (← links)
- Compactness Hypothesis, Potential Functions, and Rectifying Linear Space in Machine Learning (Q6104512) (← links)
- One-Class Semi-supervised Learning (Q6104517) (← links)
- Ellipsoidal classification via semidefinite programming (Q6161915) (← links)
- Geometrical Insights for Implicit Generative Modeling (Q6162298) (← links)
- Recognizing distributions using method of potential functions (Q6172612) (← links)
- Statistical embedding: beyond principal components (Q6181742) (← links)
- A kernel machine learning for inverse source and scattering problems (Q6561303) (← links)
- Distance-weighted discrimination (Q6604446) (← links)
- Introduction to SVM (Q6606422) (← links)
