The following pages link to SHOGUN (Q16048):
Displaying 35 items.
- A neural network algorithm for semi-supervised node label learning from unbalanced data (Q2510813) (← links)
- A general non-local denoising model using multi-kernel-induced measures (Q2629791) (← links)
- Harry: a tool for measuring string similarity (Q2810770) (← links)
- On extension theorems and their connection to universal consistency in machine learning (Q2835986) (← links)
- Learning and reasoning with action-related places for robust mobile manipulation (Q2887064) (← links)
- Learning translation invariant kernels for classification (Q2896081) (← links)
- Decision forests: a unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning (Q2904219) (← links)
- Multiple kernel learning with gaussianity measures (Q2919423) (← links)
- Tapkee: an efficient dimension reduction library (Q2933899) (← links)
- A Conditional Entropy Minimization Criterion for Dimensionality Reduction and Multiple Kernel Learning (Q3057231) (← links)
- Post-Optimal Analysis of Linear Semi-Infinite Programs (Q3059279) (← links)
- Optimization of Complex SVM Kernels Using a Hybrid Algorithm Based on Wasp Behaviour (Q3068904) (← links)
- (Q3093391) (← links)
- (Q3096130) (← links)
- (Q3096148) (← links)
- Infinite kernel learning via infinite and semi-infinite programming (Q3161152) (← links)
- (Q3171248) (← links)
- Neighborhood Property–Based Pattern Selection for Support Vector Machines (Q3591521) (← links)
- (Q3647329) (← links)
- Nonasymptotic convergence of stochastic proximal point algorithms for constrained convex optimization (Q4558525) (← links)
- (Q4636990) (← links)
- Online Multiple Kernel Learning: Algorithms and Mistake Bounds (Q4930713) (← links)
- Composite distance metric integration by leveraging multiple experts' inputs and its application in patient similarity assessment (Q4969822) (← links)
- Multiple Kernel Learningの学習理論 (Q5011460) (← links)
- Impulse response function identification of linear mechanical systems based on Kautz basis expansion with multiple poles (Q5027554) (← links)
- Formulation of Two Stage Multiple Kernel Learning Using Regression Framework (Q5045353) (← links)
- A classifier for multi-dimensional datasets based on Bayesian multiple kernel grouping learning (Q5107449) (← links)
- Density estimation with quadratic loss: a confidence intervals method (Q5190292) (← links)
- Multiple kernel learning by empirical target kernel (Q5221436) (← links)
- Multiple Spectral Kernel Learning and a Gaussian Complexity Computation (Q5378237) (← links)
- Multiview Feature Analysis via Structured Sparsity and Shared Subspace Discovery (Q5380826) (← links)
- Scikit-learn: machine learning in Python (Q5396710) (← links)
- (Q5405133) (← links)
- (Q5405268) (← links)
- Research in Computational Molecular Biology (Q5706885) (← links)
