Multi-kernel regularized classifiers
Journal of Complexity
Feature space perspectives for learning the kernel
Machine Learning
Kernel selection forl semi-supervised kernel machines
Proceedings of the 24th international conference on Machine learning
More efficiency in multiple kernel learning
Proceedings of the 24th international conference on Machine learning
Discriminant kernel and regularization parameter learning via semidefinite programming
Proceedings of the 24th international conference on Machine learning
Artificial Intelligence in Medicine
Classifier learning with a new locality regularization method
Pattern Recognition
Classifier learning with a new locality regularization method
Pattern Recognition
Learning dissimilarities by ranking: from SDP to QP
Proceedings of the 25th international conference on Machine learning
Multi-class Discriminant Kernel Learning via Convex Programming
The Journal of Machine Learning Research
Discriminatively regularized least-squares classification
Pattern Recognition
Credit Risk Evaluation Using Support Vector Machine with Mixture of Kernel
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part II
Regularization Paths for ν-SVM and ν-SVR
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Kernel-Based Inductive Transfer
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Learning with sample dependent hypothesis spaces
Computers & Mathematics with Applications
Modeling adaptive kernels from probabilistic phylogenetic trees
Artificial Intelligence in Medicine
Error bounds of multi-graph regularized semi-supervised classification
Information Sciences: an International Journal
kFOIL: learning simple relational kernels
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm
PRIB '09 Proceedings of the 4th IAPR International Conference on Pattern Recognition in Bioinformatics
Brain state decoding for rapid image retrieval
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Extended kernel recursive least squares algorithm
IEEE Transactions on Signal Processing
Building sparse multiple-kernel SVM classifiers
IEEE Transactions on Neural Networks
Representation and feature selection using multiple kernel learning
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Deterministic Error Analysis of Support Vector Regression and Related Regularized Kernel Methods
The Journal of Machine Learning Research
When Is There a Representer Theorem? Vector Versus Matrix Regularizers
The Journal of Machine Learning Research
Deriving the kernel from training data
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
Simultaneous tuning of hyperparameter and parameter for support vector machines
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Learning with kernels and logical representations
Probabilistic inductive logic programming
L2 regularization for learning kernels
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Approximation of high-dimensional kernel matrices by multilevel circulant matrices
Journal of Complexity
Learning Translation Invariant Kernels for Classification
The Journal of Machine Learning Research
Regularizing multiple kernel learning using response surface methodology
Pattern Recognition
Rademacher chaos complexities for learning the kernel problem
Neural Computation
Solving structured sparsity regularization with proximal methods
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
Variable Sparsity Kernel Learning
The Journal of Machine Learning Research
Evolution strategies based adaptive Lp LS-SVM
Information Sciences: an International Journal
A new scheme to learn a kernel in regularization networks
Neurocomputing
Expert Systems with Applications: An International Journal
lp-Norm Multiple Kernel Learning
The Journal of Machine Learning Research
A Family of Simple Non-Parametric Kernel Learning Algorithms
The Journal of Machine Learning Research
Learning a Robust Relevance Model for Search Using Kernel Methods
The Journal of Machine Learning Research
Super-Linear Convergence of Dual Augmented Lagrangian Algorithm for Sparsity Regularized Estimation
The Journal of Machine Learning Research
Multiple Kernel Learning Algorithms
The Journal of Machine Learning Research
Proceedings of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems
Generalized augmentation of multiple kernels
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
Structured Variable Selection with Sparsity-Inducing Norms
The Journal of Machine Learning Research
Learning bounds for support vector machines with learned kernels
COLT'06 Proceedings of the 19th annual conference on Learning Theory
MMCS'08 Proceedings of the 7th international conference on Mathematical Methods for Curves and Surfaces
Learning convex combinations of continuously parameterized basic kernels
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Multi kernel learning with online-batch optimization
The Journal of Machine Learning Research
Algorithms for learning kernels based on centered alignment
The Journal of Machine Learning Research
Bound the learning rates with generalized gradients
WSEAS Transactions on Signal Processing
Multiple kernel learning with gaussianity measures
Neural Computation
A Bayesian approach to sparse dynamic network identification
Automatica (Journal of IFAC)
Distributed parametric and nonparametric regression with on-line performance bounds computation
Automatica (Journal of IFAC)
Learning the coordinate gradients
Advances in Computational Mathematics
An identity for kernel ridge regression
Theoretical Computer Science
On the convergence rate of lp-norm multiple kernel learning
The Journal of Machine Learning Research
Learning bilinear model for matching queries and documents
The Journal of Machine Learning Research
Kernel regression with sparse metric learning
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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We study the problem of finding an optimal kernel from a prescribed convex set of kernels K for learning a real-valued function by regularization. We establish for a wide variety of regularization functionals that this leads to a convex optimization problem and, for square loss regularization, we characterize the solution of this problem. We show that, although K may be an uncountable set, the optimal kernel is always obtained as a convex combination of at most m+2 basic kernels, where m is the number of data examples. In particular, our results apply to learning the optimal radial kernel or the optimal dot product kernel.