SIAM Review
Determinant Maximization with Linear Matrix Inequality Constraints
SIAM Journal on Matrix Analysis and Applications
Using analytic QP and sparseness to speed training of support vector machines
Proceedings of the 1998 conference on Advances in neural information processing systems II
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
An integrated probabilistic model for functional prediction of proteins
RECOMB '03 Proceedings of the seventh annual international conference on Research in computational molecular biology
Diffusion Kernels on Graphs and Other Discrete Input Spaces
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
Duality and Geometry in SVM Classifiers
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Text categorization by boosting automatically extracted concepts
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Rademacher and gaussian complexities: risk bounds and structural results
The Journal of Machine Learning Research
Kernel Methods for Pattern Analysis
Kernel Methods for Pattern Analysis
IEEE Transactions on Information Theory
Column-generation boosting methods for mixture of kernels
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Kernel conditional random fields: representation and clique selection
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Learning a kernel matrix for nonlinear dimensionality reduction
ICML '04 Proceedings of the twenty-first international conference on Machine learning
A fast iterative algorithm for fisher discriminant using heterogeneous kernels
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Multiple kernel learning, conic duality, and the SMO algorithm
ICML '04 Proceedings of the twenty-first international conference on Machine learning
A kernel-based learning approach to ad hoc sensor network localization
ACM Transactions on Sensor Networks (TOSN)
Predictive low-rank decomposition for kernel methods
ICML '05 Proceedings of the 22nd international conference on Machine learning
Supervised clustering with support vector machines
ICML '05 Proceedings of the 22nd international conference on Machine learning
Optimal assignment kernels for attributed molecular graphs
ICML '05 Proceedings of the 22nd international conference on Machine learning
Hierarchic Bayesian models for kernel learning
ICML '05 Proceedings of the 22nd international conference on Machine learning
Heteroscedastic Gaussian process regression
ICML '05 Proceedings of the 22nd international conference on Machine learning
Adaptive Product Normalization: Using Online Learning for Record Linkage in Comparison Shopping
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Semi-Supervised Mixture of Kernels via LPBoost Methods
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Metric Learning for Text Documents
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model-based transductive learning of the kernel matrix
Machine Learning
A DC-programming algorithm for kernel selection
ICML '06 Proceedings of the 23rd international conference on Machine learning
On a theory of learning with similarity functions
ICML '06 Proceedings of the 23rd international conference on Machine learning
Nightmare at test time: robust learning by feature deletion
ICML '06 Proceedings of the 23rd international conference on Machine learning
Optimal kernel selection in Kernel Fisher discriminant analysis
ICML '06 Proceedings of the 23rd international conference on Machine learning
Learning low-rank kernel matrices
ICML '06 Proceedings of the 23rd international conference on Machine learning
Learning the unified kernel machines for classification
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Personalized mining of web documents using link structures and fuzzy concept networks
Applied Soft Computing
Multi-kernel regularized classifiers
Journal of Complexity
Feature space perspectives for learning the kernel
Machine Learning
Creating a quality map of a slate deposit using support vector machines
Journal of Computational and Applied Mathematics
Web page classification with heterogeneous data fusion
Proceedings of the 16th international conference on World Wide Web
Learning linear PCA with convex semi-definite programming
Pattern Recognition
Ensemble Pruning Via Semi-definite Programming
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Learnability of Gaussians with Flexible Variances
The Journal of Machine Learning Research
Value Regularization and Fenchel Duality
The Journal of Machine Learning Research
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Twin Support Vector Machines for Pattern Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Kernel selection forl semi-supervised kernel machines
Proceedings of the 24th international conference on Machine learning
Learning nonparametric kernel matrices from pairwise constraints
Proceedings of the 24th international conference on Machine learning
A transductive framework of distance metric learning by spectral dimensionality reduction
Proceedings of the 24th international conference on Machine learning
More efficiency in multiple kernel learning
Proceedings of the 24th international conference on Machine learning
A kernel path algorithm for support vector machines
Proceedings of the 24th international conference on Machine learning
Learning to combine distances for complex representations
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
Maximum margin clustering made practical
Proceedings of the 24th international conference on Machine learning
Spectral feature selection for supervised and unsupervised learning
Proceedings of the 24th international conference on Machine learning
Multiclass multiple kernel learning
Proceedings of the 24th international conference on Machine learning
Nonlinear adaptive distance metric learning for clustering
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Knowledge and Information Systems
Artificial Intelligence in Medicine
A kernel optimization method based on the localized kernel Fisher criterion
Pattern Recognition
A theory of learning with similarity functions
Machine Learning
Training SVM with indefinite kernels
Proceedings of the 25th international conference on Machine learning
Localized multiple kernel learning
Proceedings of the 25th international conference on Machine learning
Proceedings of the 25th international conference on Machine learning
A reproducing kernel Hilbert space framework for pairwise time series distances
Proceedings of the 25th international conference on Machine learning
Learning dissimilarities by ranking: from SDP to QP
Proceedings of the 25th international conference on Machine learning
Proceedings of the 25th international conference on Machine learning
Multi-class Discriminant Kernel Learning via Convex Programming
The Journal of Machine Learning Research
Consistency of the Group Lasso and Multiple Kernel Learning
The Journal of Machine Learning Research
An efficient kernel matrix evaluation measure
Pattern Recognition
Adaptive quasiconformal kernel discriminant analysis
Neurocomputing
Learning subspace kernels for classification
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Identifying biologically relevant genes via multiple heterogeneous data sources
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Heterogeneous data fusion for alzheimer's disease study
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Supervised dimensionality reduction via sequential semidefinite programming
Pattern Recognition
Learning a Mahalanobis distance metric for data clustering and classification
Pattern Recognition
Better multiclass classification via a margin-optimized single binary problem
Pattern Recognition Letters
Improving SVM Performance Using a Linear Combination of Kernels
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II
Credit Risk Evaluation Using Support Vector Machine with Mixture of Kernel
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part II
Unsupervised and Semi-supervised Lagrangian Support Vector Machines
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
On the Stability and Bias-Variance Analysis of Kernel Matrix Learning
CAI '07 Proceedings of the 20th conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
Equivalence Learning in Protein Classification
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Learning a Kernel Matrix for Time Series Data from DTW Distances
Neural Information Processing
A Multiple Kernel Learning Approach to Joint Multi-class Object Detection
Proceedings of the 30th DAGM symposium on Pattern Recognition
Incremental Relevance Vector Machine with Kernel Learning
SETN '08 Proceedings of the 5th Hellenic conference on Artificial Intelligence: Theories, Models and Applications
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
Functional Learning of Kernels for Information Fusion Purposes
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Kernel-Based Inductive Transfer
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Kernel Matrix Learning for One-Class Classification
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
Clustering high dimensional data: A graph-based relaxed optimization approach
Information Sciences: an International Journal
Learning with sample dependent hypothesis spaces
Computers & Mathematics with Applications
Pattern recognition with a Bayesian kernel combination machine
Pattern Recognition Letters
Protein functional class prediction with a combined graph
Expert Systems with Applications: An International Journal
A model for a complex polynomial SVM kernel
SMO'08 Proceedings of the 8th conference on Simulation, modelling and optimization
Modeling adaptive kernels from probabilistic phylogenetic trees
Artificial Intelligence in Medicine
Gaussian kernel optimization for pattern classification
Pattern Recognition
Kernel Trees for Support Vector Machines
IEICE - Transactions on Information and Systems
Error bounds of multi-graph regularized semi-supervised classification
Information Sciences: an International Journal
A Family-Based Evolutional Approach for Kernel Tree Selection in SVMs
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Multiple indefinite kernel learning with mixed norm regularization
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Semi-supervised learning using label mean
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Geometry-aware metric learning
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Partial order embedding with multiple kernels
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
More generality in efficient multiple kernel learning
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Non-monotonic feature selection
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
SimpleNPKL: simple non-parametric kernel learning
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Feature shaping for linear SVM classifiers
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Smoothing Newton Method for L1 Soft Margin Data Classification Problem
ICCS 2009 Proceedings of the 9th International Conference on Computational Science
Robust Unsupervised and Semi-supervised Bounded ν - Support Vector Machines
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
Learning Kernel Matrix from Gene Ontology and Annotation Data for Protein Function Prediction
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Combining feature spaces for classification
Pattern Recognition
Learning by local kernel polarization
Neurocomputing
Combining audio content and social context for semantic music discovery
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
kFOIL: learning simple relational kernels
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Optimal Double-Kernel Combination for Classification
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
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
Improving k-NN for Human Cancer Classification Using the Gene Expression Profiles
IDA '09 Proceedings of the 8th International Symposium on Intelligent Data Analysis: Advances in Intelligent Data Analysis VIII
A Convex Method for Locating Regions of Interest with Multi-instance Learning
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
The Feature Importance Ranking Measure
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Margin and Radius Based Multiple Kernel Learning
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Feature Selection for Density Level-Sets
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Unsupervised and semi-supervised multi-class support vector machines
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Learning sparse kernels from 3D surfaces for heart wall motion abnormality detection
IAAI'08 Proceedings of the 20th national conference on Innovative applications of artificial intelligence - Volume 3
Transfer learning via dimensionality reduction
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Transferring localization models across space
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
Feature selection and kernel design via linear programming
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Kernel Methods in Computer Vision
Foundations and Trends® in Computer Graphics and Vision
Transductive Rademacher complexity and its applications
Journal of Artificial Intelligence Research
Learning coordination classifiers
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
A procedure of adaptive kernel combination with kernel-target alignment for object classification
Proceedings of the ACM International Conference on Image and Video Retrieval
A volume-based heat-diffusion classifier
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Construction of tunable radial basis function networks using orthogonal forward selection
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Maximum margin clustering made practical
IEEE Transactions on Neural Networks
Building sparse multiple-kernel SVM classifiers
IEEE Transactions on Neural Networks
Sparse Bayesian modeling with adaptive kernel learning
IEEE Transactions on Neural Networks
Optimal feature selection for support vector machines
Pattern Recognition
Linear dimensionality reduction for multi-label classification
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Learning the optimal neighborhood kernel for classification
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Spectral kernel learning for semi-supervised classification
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
On multiple kernel learning with multiple labels
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Discriminative semi-supervised feature selection via manifold regularization
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Multiclass probabilistic kernel discriminant analysis
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Kernel Learning for Local Learning Based Clustering
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Kernel Alignment k-NN for Human Cancer Classification Using the Gene Expression Profiles
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
Features and Metric from a Classifier Improve Visualizations with Dimension Reduction
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
Max-margin Multiple-Instance Learning via Semidefinite Programming
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
A Reformulation of Support Vector Machines for General Confidence Functions
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
Kernel based support vector machine via semidefinite programming: Application to medical diagnosis
Computers and Operations Research
Representation and feature selection using multiple kernel learning
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
On support vector regression machines with linguistic interpretation of the kernel matrix
Fuzzy Sets and Systems
Automatic model selection for the optimization of SVM kernels
Pattern Recognition
Reducing samples for accelerating multikernel semiparametric support vector regression
Expert Systems with Applications: An International Journal
Kernel-based metric learning for semi-supervised clustering
Neurocomputing
An Anticorrelation Kernel for Subsystem Training in Multiple Classifier Systems
The Journal of Machine Learning Research
Large Scale Online Learning of Image Similarity Through Ranking
The Journal of Machine Learning Research
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
Kernel combination versus classifier combination
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
Deriving the kernel from training data
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
Classifier complexity reduction by support vector pruning in kernel matrix learning
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Transductive rademacher complexity and its applications
COLT'07 Proceedings of the 20th annual conference on Learning theory
Cost-conscious multiple kernel learning
Pattern Recognition Letters
Spectral measures for kernel matrices comparison
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Kernel fusion for image classification using fuzzy structural information
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
Multiple kernel support vector regression for siRNA efficacy prediction
ISBRA'08 Proceedings of the 4th international conference on Bioinformatics research and applications
Optimising multiple kernels for SVM by genetic programming
EvoCOP'08 Proceedings of the 8th European conference on Evolutionary computation in combinatorial optimization
Learning with kernels and logical representations
Probabilistic inductive logic programming
Unsupervised and semi-supervised Lagrangian support vector machines with polyhedral perturbations
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
L2 regularization for learning kernels
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Multiple Kernel learning using regularized Ho-Kashyap classifier in empirical Kernel mapping space
ICNC'09 Proceedings of the 5th international conference on Natural computation
Use of MKL as symbol classifier for Gujarati character recognition
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Non-parametric kernel ranking approach for social image retrieval
Proceedings of the ACM International Conference on Image and Video Retrieval
A food image recognition system with multiple kernel learning
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Optimum kernel function design from scale space features for object detection
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Multiple kernel maximum margin criterion
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Feature fusion using locally linear embedding for classification
IEEE Transactions on Neural Networks
A Novel Regularization Learning for Single-View Patterns: Multi-View Discriminative Regularization
Neural Processing Letters
Content-enriched classifier for web video classification
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Employing multiple-kernel support vector machines for counterfeit banknote recognition
Applied Soft Computing
Learning Translation Invariant Kernels for Classification
The Journal of Machine Learning Research
Regularizing multiple kernel learning using response surface methodology
Pattern Recognition
Particle swarm optimization aided orthogonal forward regression for unified data modeling
IEEE Transactions on Evolutionary Computation
Discriminative semi-supervised feature selection via manifold regularization
IEEE Transactions on Neural Networks
Large-margin classification in infinite neural networks
Neural Computation
Similarity preserving principal curve: an optimal 1-D feature extractor for data representation
IEEE Transactions on Neural Networks
Scalable large-margin Mahalanobis distance metric learning
IEEE Transactions on Neural Networks
Rademacher chaos complexities for learning the kernel problem
Neural Computation
Language pyramid and multi-scale text analysis
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
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
Multikernel semiparametric linear programming support vector regression
Expert Systems with Applications: An International Journal
On the power of topological kernel in microarray-based detection of cancer
IDEAL'10 Proceedings of the 11th international conference on Intelligent data engineering and automated learning
Learning a combination of heterogeneous dissimilarities from incomplete knowledge
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
Semi-supervised clustering using heterogeneous dissimilarities
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
On feature combination for music classification
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
Correlation features and a linear transform specific reproducing kernel
TSD'10 Proceedings of the 13th international conference on Text, speech and dialogue
Clustering complex data with group-dependent feature selection
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
A unifying view of multiple kernel learning
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
Online multiple kernel learning: algorithms and mistake bounds
ALT'10 Proceedings of the 21st international conference on Algorithmic learning theory
Medical image classification with multiple kernel learning
ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
Cost-Sensitive Active Visual Category Learning
International Journal of Computer Vision
Mixing linear SVMs for nonlinear classification
IEEE Transactions on Neural Networks
Bilinear formulated multiple kernel learning for multi-class classification problem
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: models and applications - Volume Part II
Learning with uncertain kernel matrix set
Journal of Computer Science and Technology
Learning Multi-modal Similarity
The Journal of Machine Learning Research
Variable Sparsity Kernel Learning
The Journal of Machine Learning Research
Regression on Fixed-Rank Positive Semidefinite Matrices: A Riemannian Approach
The Journal of Machine Learning Research
A multi-scale learning framework for visual categorization
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
Multiple classifier systems in texton-based approach for the classification of CT images of lung
MCV'10 Proceedings of the 2010 international MICCAI conference on Medical computer vision: recognition techniques and applications in medical imaging
Unsupervised selective transfer learning for object recognition
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
On feature combination and multiple kernel learning for object tracking
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Randomised manifold forests for principal angle-based face recognition
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Evolution strategies based adaptive Lp LS-SVM
Information Sciences: an International Journal
A new scheme to learn a kernel in regularization networks
Neurocomputing
Learning low-rank kernel matrices for constrained clustering
Neurocomputing
Expert Systems with Applications: An International Journal
Pattern Recognition
Multiple kernel active learning for facial expression analysis
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
Expression recognition in videos using a weighted component-based feature descriptor
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
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
Fusing heterogeneous data sources considering a set of equivalence constraints
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I
Multi-task learning via non-sparse multiple kernel learning
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
Multiple random subset-kernel learning
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
Novel fusion methods for pattern recognition
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I
A boosting approach to multiview classification with cooperation
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
Facial feature tracking for emotional dynamic analysis
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
Generalized augmentation of multiple kernels
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
Two-stage augmented kernel matrix for object recognition
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
Multiple kernel learning via distance metric learning for interactive image retrieval
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
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
Evaluating feature combination in object classification
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II
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
Efficient lp-norm multiple feature metric learning for image categorization
Proceedings of the 20th ACM international conference on Information and knowledge management
Learning kernels with upper bounds of leave-one-out error
Proceedings of the 20th ACM international conference on Information and knowledge management
Feature Fusion Using Multiple Component Analysis
Neural Processing Letters
Image annotation by composite kernel learning with group structure
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Modeling social strength in social media community via kernel-based learning
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Solving semi-infinite linear programs using boosting-like methods
ALT'06 Proceedings of the 17th international conference on Algorithmic Learning Theory
Fusion of gaussian kernels within support vector classification
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
Clustering pairwise distances with missing data: maximum cuts versus normalized cuts
DS'06 Proceedings of the 9th international conference on Discovery Science
Learning bounds for support vector machines with learned kernels
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Alternatives to parameter selection for kernel methods
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
Ensemble learning with supervised kernels
ECML'05 Proceedings of the 16th European conference on Machine Learning
Learning SVM kernel with semi-definite programming
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Learning convex combinations of continuously parameterized basic kernels
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Orthogonal forward selection for constructing the radial basis function network with tunable nodes
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Fast neighborhood component analysis
Neurocomputing
Adaptive matching based kernels for labelled graphs
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Support vector machine to synthesise kernels
Proceedings of the First international conference on Deterministic and Statistical Methods in Machine Learning
Structured sparsity in structured prediction
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
The dissimilarity space: Bridging structural and statistical pattern recognition
Pattern Recognition Letters
An online framework for learning novel concepts over multiple cues
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part I
Classification of biological sequences with kernel methods
ICGI'06 Proceedings of the 8th international conference on Grammatical Inference: algorithms and applications
Multivariate convex support vector regression with semidefinite programming
Knowledge-Based Systems
Combining multiple kernels by augmenting the kernel matrix
MCS'10 Proceedings of the 9th international conference on Multiple Classifier Systems
On the fusion of polynomial kernels for support vector classifiers
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Generalised bottom-up pruning: A model level combination of decision trees
Expert Systems with Applications: An International Journal
Optimization with Sparsity-Inducing Penalties
Foundations and Trends® in Machine Learning
Multi kernel learning with online-batch optimization
The Journal of Machine Learning Research
Metric and kernel learning using a linear transformation
The Journal of Machine Learning Research
Non-sparse multiple kernel fisher discriminant analysis
The Journal of Machine Learning Research
Structured sparsity and generalization
The Journal of Machine Learning Research
Algorithms for learning kernels based on centered alignment
The Journal of Machine Learning Research
Evaluation measures for kernel optimization
Pattern Recognition Letters
Incorporation of radius-info can be simple with SimpleMKL
Neurocomputing
Sparse multikernel support vector regression machines trained by active learning
Expert Systems with Applications: An International Journal
A latent variable ranking model for content-based retrieval
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
Multiple kernel learning with gaussianity measures
Neural Computation
Statistical Analysis and Data Mining
SPF-GMKL: generalized multiple kernel learning with a million kernels
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Domain transfer dimensionality reduction via discriminant kernel learning
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Regularization techniques for learning with matrices
The Journal of Machine Learning Research
Multi-Kernel based feature selection for regression
ICIC'12 Proceedings of the 8th international conference on Intelligent Computing Theories and Applications
Anomaly detection via coupled gaussian kernels
Canadian AI'12 Proceedings of the 25th Canadian conference on Advances in Artificial Intelligence
Review: Supervised classification and mathematical optimization
Computers and Operations Research
Learning the coordinate gradients
Advances in Computational Mathematics
Visual knowledge transfer among multiple cameras for people counting with occlusion handling
Proceedings of the 20th ACM international conference on Multimedia
Biologically inspired task oriented gist model for scene classification
Computer Vision and Image Understanding
A heuristic hierarchical clustering based on multiple similarity measurements
Pattern Recognition Letters
Localized algorithms for multiple kernel learning
Pattern Recognition
Random projection ensemble learning with multiple empirical kernels
Knowledge-Based Systems
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Efficient optimization for low-rank integrated bilinear classifiers
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Efficient similarity derived from kernel-based transition probability
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Supervised patient similarity measure of heterogeneous patient records
ACM SIGKDD Explorations Newsletter
Support-vector modeling of electromechanical coupling for microwave filter tuning
International Journal of RF and Microwave Computer-Aided Engineering
Accelerated max-margin multiple kernel learning
Applied Intelligence
Analysis of transient queues with semidefinite optimization
Queueing Systems: Theory and Applications
Online Multiple Kernel Classification
Machine Learning
Online multi-modal distance learning for scalable multimedia retrieval
Proceedings of the sixth ACM international conference on Web search and data mining
Online learning with multiple kernels: A review
Neural Computation
An efficient multiple-kernel learning for pattern classification
Expert Systems with Applications: An International Journal
Learning with infinitely many features
Machine Learning
Regularizers for structured sparsity
Advances in Computational Mathematics
Unsupervised non-parametric kernel learning algorithm
Knowledge-Based Systems
Model selection based product kernel learning for regression on graphs
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Joint kernel learning for supervised image segmentation
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Action recognition using canonical correlation kernels
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
lp-norm multikernel learning approach for stock market price forecasting
Computational Intelligence and Neuroscience
Multiple spectral kernel learning and a gaussian complexity computation
Neural Computation
Image and Vision Computing
Functional analysis techniques to improve similarity matrices in discrimination problems
Journal of Multivariate Analysis
On the convergence rate of lp-norm multiple kernel learning
The Journal of Machine Learning Research
Accurate and efficient cross-domain visual matching leveraging multiple feature representations
The Visual Computer: International Journal of Computer Graphics
Eigenvalues perturbation of integral operator for kernel selection
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
Texture classification using kernel-based techniques
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
Training Lp norm multiple kernel learning in the primal
Neural Networks
Multiple kernel learning for emotion recognition in the wild
Proceedings of the 15th ACM on International conference on multimodal interaction
Efficient kernel learning from side information using ADMM
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
A nested heuristic for parameter tuning in Support Vector Machines
Computers and Operations Research
Least squares regression with l1 -regularizer in sum space
Journal of Computational and Applied Mathematics
Convex and scalable weakly labeled SVMs
The Journal of Machine Learning Research
Maximum volume clustering: a new discriminative clustering approach
The Journal of Machine Learning Research
Guaranteed classification via regularized similarity learning
Neural Computation
Sparse semi-supervised learning on low-rank kernel
Neurocomputing
Analytic center cutting plane method for multiple kernel learning
Annals of Mathematics and Artificial Intelligence
Boosted kernel for image categorization
Multimedia Tools and Applications
Learning kernels on extended Reeb graphs for 3d shape classification and retrieval
3DOR '13 Proceedings of the Sixth Eurographics Workshop on 3D Object Retrieval
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Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is performed implicitly, by specifying the inner products between each pair of points in the embedding space. This information is contained in the so-called kernel matrix, a symmetric and positive semidefinite matrix that encodes the relative positions of all points. Specifying this matrix amounts to specifying the geometry of the embedding space and inducing a notion of similarity in the input space---classical model selection problems in machine learning. In this paper we show how the kernel matrix can be learned from data via semidefinite programming (SDP) techniques. When applied to a kernel matrix associated with both training and test data this gives a powerful transductive algorithm---using the labeled part of the data one can learn an embedding also for the unlabeled part. The similarity between test points is inferred from training points and their labels. Importantly, these learning problems are convex, so we obtain a method for learning both the model class and the function without local minima. Furthermore, this approach leads directly to a convex method for learning the 2-norm soft margin parameter in support vector machines, solving an important open problem.