Gene functional classification from heterogeneous data
RECOMB '01 Proceedings of the fifth annual international conference on Computational biology
A parallel mixture of SVMs for very large scale problems
Neural Computation
Proceedings of the 5th International Conference on Intelligent Systems for Molecular Biology
Learning the Kernel Matrix with Semidefinite Programming
The Journal of Machine Learning Research
Multiple kernel learning, conic duality, and the SMO algorithm
ICML '04 Proceedings of the twenty-first international conference on Machine learning
A statistical framework for genomic data fusion
Bioinformatics
Nonstationary kernel combination
ICML '06 Proceedings of the 23rd international conference on Machine learning
Large Scale Multiple Kernel Learning
The Journal of Machine Learning Research
More efficiency in multiple kernel learning
Proceedings of the 24th international conference on Machine learning
Adaptive mixtures of local experts
Neural Computation
Kernel combination versus classifier combination
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
Supervised learning of local projection kernels
Neurocomputing
Regularizing multiple kernel learning using response surface methodology
Pattern Recognition
Per-sample multiple kernel approach for visual concept learning
Journal on Image and Video Processing - Special issue on selected papers from multimedia modeling conference 2009
S3MKL: scalable semi-supervised multiple kernel learning for image data mining
Proceedings of the international conference on Multimedia
A multiple-kernel support vector regression approach for stock market price forecasting
Expert Systems with Applications: An International Journal
Human tracking by multiple kernel boosting with locality affinity constraints
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
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
Multiple Kernel Learning Algorithms
The Journal of Machine Learning Research
Active multiple kernel learning for interactive 3D object retrieval systems
ACM Transactions on Interactive Intelligent Systems (TiiS)
Multiple random subset-kernel learning
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
A multiple Kernel learning algorithm for cell nucleus classification of renal cell carcinoma
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
Combining data sources nonlinearly for cell nucleus classification of renal cell carcinoma
SIMBAD'11 Proceedings of the First international conference on Similarity-based pattern recognition
Efficient semi-supervised learning on locally informative multiple graphs
Pattern Recognition
Fast neighborhood component analysis
Neurocomputing
Incorporation of radius-info can be simple with SimpleMKL
Neurocomputing
SPF-GMKL: generalized multiple kernel learning with a million kernels
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Discriminant analysis in pairwise kernel learning for SVM classification
International Journal of Bioinformatics Research and Applications
Biologically inspired task oriented gist model for scene classification
Computer Vision and Image Understanding
Localized algorithms for multiple kernel learning
Pattern Recognition
Simultaneous learning of localized multiple kernels and classifier with weighted regularization
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
An efficient multiple-kernel learning for pattern classification
Expert Systems with Applications: An International Journal
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
Combining multiple views: Case studies on protein and arrhythmia features
Engineering Applications of Artificial Intelligence
Benchmarking local classification methods
Computational Statistics
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Recently, instead of selecting a single kernel, multiple kernel learning (MKL) has been proposed which uses a convex combination of kernels, where the weight of each kernel is optimized during training. However, MKL assigns the same weight to a kernel over the whole input space. In this paper, we develop a localized multiple kernel learning (LMKL) algorithm using a gating model for selecting the appropriate kernel function locally. The localizing gating model and the kernel-based classifier are coupled and their optimization is done in a joint manner. Empirical results on ten benchmark and two bioinformatics data sets validate the applicability of our approach. LMKL achieves statistically similar accuracy results compared with MKL by storing fewer support vectors. LMKL can also combine multiple copies of the same kernel function localized in different parts. For example, LMKL with multiple linear kernels gives better accuracy results than using a single linear kernel on bioinformatics data sets.