Pages that link to "Item:Q1930441"
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The following pages link to Localized algorithms for multiple kernel learning (Q1930441):
Displaying 21 items.
- Local kernels and the geometric structure of data (Q265690) (← links)
- Double-fold localized multiple matrixized learning machine (Q527144) (← links)
- Evolutionary combination of kernels for nonlinear feature transformation (Q726372) (← links)
- Stochastic feature mapping for PAC-Bayes classification (Q890313) (← links)
- Linearized and kernelized sparse multitask learning for predicting cognitive outcomes in Alzheimer's disease (Q1731300) (← links)
- Online primal-dual learning for a data-dependent multi-kernel combination model with multiclass visual categorization applications (Q1749965) (← links)
- A multikernel-like learning algorithm based on data probability distribution (Q1793375) (← links)
- The Goldenshluger-Lepski method for constrained least-squares estimators over RKHSs (Q1983602) (← links)
- Improving localized multiple kernel learning via radius-margin bound (Q1992765) (← links)
- Benchmarking local classification methods (Q2259338) (← links)
- MREKLM: a fast multiple empirical kernel learning machine (Q2289596) (← links)
- A multiple attributes convolution kernel with reproducing property (Q2337518) (← links)
- Fast and scalable local kernel machines (Q2896121) (← links)
- A Local Supervised Learning Algorithm For Multi-Layer Perceptrons (Q3159481) (← links)
- (Q4636990) (← links)
- (Q4671728) (← links)
- Vertex nomination via seeded graph matching (Q4970326) (← links)
- Formulation of Two Stage Multiple Kernel Learning Using Regression Framework (Q5045353) (← links)
- Computer Vision - ECCV 2004 (Q5713774) (← links)
- Multi-kernel learning for multi-label classification with local Rademacher complexity (Q6095622) (← links)
- Potential Functions for Signals and Symbolic Sequences (Q6104510) (← links)