Scaling Kernel-Based Systems to Large Data Sets
Data Mining and Knowledge Discovery
Machine Learning
Sparse on-line Gaussian processes
Neural Computation
Efficient greedy learning of Gaussian mixture models
Neural Computation
Approximate Thin Plate Spline Mappings
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Optimizing Kernel-Based Nonlinear Subspace Methods Using Prototype Reduction Schemes
AI '02 Proceedings of the 15th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
On the Generalization of Kernel Machines
SVM '02 Proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines
Support Vector Machines, Kernel Logistic Regression and Boosting
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Kernel-based nonlinear blind source separation
Neural Computation
Advanced lectures on machine learning
Text classification using string kernels
The Journal of Machine Learning Research
Efficient svm training using low-rank kernel representations
The Journal of Machine Learning Research
Kernel independent component analysis
The Journal of Machine Learning Research
The Journal of Machine Learning Research
The subspace information criterion for infinite dimensional hypothesis spaces
The Journal of Machine Learning Research
Some greedy learning algorithms for sparse regression and classification with mercer kernels
The Journal of Machine Learning Research
A tutorial on support vector regression
Statistics and Computing
Gaussian process classification for segmenting and annotating sequences
ICML '04 Proceedings of the twenty-first international conference on Machine learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Exponential families for conditional random fields
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multicategory Proximal Support Vector Machine Classifiers
Machine Learning
Predictive low-rank decomposition for kernel methods
ICML '05 Proceedings of the 22nd international conference on Machine learning
Healing the relevance vector machine through augmentation
ICML '05 Proceedings of the 22nd international conference on Machine learning
Core Vector Regression for very large regression problems
ICML '05 Proceedings of the 22nd international conference on Machine learning
Learning with generalization capability by kernal methods of bounded complexity
Journal of Complexity
A Feature-based Approach for Dense Segmentation and Estimation of Large Disparity Motion
International Journal of Computer Vision
Concept boundary detection for speeding up SVMs
ICML '06 Proceedings of the 23rd international conference on Machine learning
Learning concepts from large scale imbalanced data sets using support cluster machines
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
On the Nyström Method for Approximating a Gram Matrix for Improved Kernel-Based Learning
The Journal of Machine Learning Research
Gaussian fields for semi-supervised regression and correspondence learning
Pattern Recognition
An efficient algorithm for generalized discriminant analysis using incomplete Cholesky decomposition
Pattern Recognition Letters
Letters: Support vector perceptrons
Neurocomputing
Kernel least-squares models using updates of the pseudoinverse
Neural Computation
Computational Statistics & Data Analysis
Building Support Vector Machines with Reduced Classifier Complexity
The Journal of Machine Learning Research
Multiclass core vector machine
Proceedings of the 24th international conference on Machine learning
Large-scale RLSC learning without agony
Proceedings of the 24th international conference on Machine learning
Modified Kernel functions by geodesic distance
EURASIP Journal on Applied Signal Processing
Letters: Compact multi-class support vector machine
Neurocomputing
Learning on the border: active learning in imbalanced data classification
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Improved Nyström low-rank approximation and error analysis
Proceedings of the 25th international conference on Machine learning
Nonlinear estimation of subpixel proportion via kernel least square regression
International Journal of Remote Sensing
Support Vector Machines, Data Reduction, and Approximate Kernel Matrices
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Adaptive spherical Gaussian kernel in sparse Bayesian learning framework for nonlinear regression
Expert Systems with Applications: An International Journal
Subspace identification of Bilinear and LPV systems for open- and closed-loop data
Automatica (Journal of IFAC)
An efficient algorithm for learning to rank from preference graphs
Machine Learning
Fast approximate spectral clustering
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Nonlinear Component Analysis for Large-Scale Data Set Using Fixed-Point Algorithm
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
A Sparse Regularized Least-Squares Preference Learning Algorithm
Proceedings of the 2008 conference on Tenth Scandinavian Conference on Artificial Intelligence: SCAI 2008
Least Squares SVM for Least Squares TD Learning
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Sparse kernel SVMs via cutting-plane training
Machine Learning
Cutting-plane training of structural SVMs
Machine Learning
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Updates for nonlinear discriminants
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Kernel conjugate gradient for fast kernel machines
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Efficient band approximation of Gram matrices for large scale kernel methods on GPUs
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis
From minimum enclosing ball to fast fuzzy inference system training on large datasets
IEEE Transactions on Fuzzy Systems
A fast SVM training method for very large datasets
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Matrix-based kernel principal component analysis for large-scale data set
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
On speeding up computation in information theoretic learning
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Twin Gaussian Processes for Structured Prediction
International Journal of Computer Vision
Learning with generalization capability by kernel methods of bounded complexity
Journal of Complexity
Weight-decay regularization in reproducing Kernel Hilbert spaces by variable-basis schemes
WSEAS Transactions on Mathematics
Learning relevant eye movement feature spaces across users
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Subset based least squares subspace regression in RKHS
Neurocomputing
Optimized fixed-size kernel models for large data sets
Computational Statistics & Data Analysis
On the sparseness of 1-norm support vector machines
Neural Networks
Double sparsity: learning sparse dictionaries for sparse signal approximation
IEEE Transactions on Signal Processing
Efficient hold-out for subset of regressors
ICANNGA'09 Proceedings of the 9th international conference on Adaptive and natural computing algorithms
Sparse approximation through boosting for learning large scale kernel machines
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Extraction of signals with specific temporal structure using kernel methods
IEEE Transactions on Signal Processing
Matrix sparsification and the sparse null space problem
APPROX/RANDOM'10 Proceedings of the 13th international conference on Approximation, and 14 the International conference on Randomization, and combinatorial optimization: algorithms and techniques
Clustered Nyström method for large scale manifold learning and dimension reduction
IEEE Transactions on Neural Networks
Using an iterative linear solver in an interior-point method for generating support vector machines
Computational Optimization and Applications
On Learning and Cross-Validation with Decomposed Nyström Approximation of Kernel Matrix
Neural Processing Letters
Condensed vector machines: learning fast machine for large data
IEEE Transactions on Neural Networks
Mixing linear SVMs for nonlinear classification
IEEE Transactions on Neural Networks
Tree Decomposition for Large-Scale SVM Problems
The Journal of Machine Learning Research
Regularized sparse Kernel slow feature analysis
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I
Building sparse support vector machines for multi-instance classification
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I
Multi-instance multi-label learning
Artificial Intelligence
On optimizing kernel-based fisher discriminant analysis using prototype reduction schemes
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Sequential learning with LS-SVM for large-scale data sets
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
Building a sparse kernel classifier on riemannian manifold
VSMM'06 Proceedings of the 12th international conference on Interactive Technologies and Sociotechnical Systems
Kernel principal component analysis for large scale data set
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
Analysis of some methods for reduced rank gaussian process regression
Switching and Learning in Feedback Systems
Approximating a gram matrix for improved kernel-based learning
COLT'05 Proceedings of the 18th annual conference on Learning Theory
An improved kernel principal component analysis for large-scale data set
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
Multi-kernel growing support vector regressor
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Efficient semantic kernel-based text classification using matching pursuit KFDA
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II
Rough margin based core vector machine
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
The Journal of Machine Learning Research
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
Learning low-rank Mercer kernels with fast-decaying spectrum
Neurocomputing
Sampling methods for the Nyström method
The Journal of Machine Learning Research
Real-time top-n recommendation in social streams
Proceedings of the sixth ACM conference on Recommender systems
Hybrid classifiers for object classification with a rich background
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Fast and scalable polynomial kernels via explicit feature maps
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Measurement and modeling of eye-mouse behavior in the presence of nonlinear page layouts
Proceedings of the 22nd international conference on World Wide Web
Regularized vector field learning with sparse approximation for mismatch removal
Pattern Recognition
Isometric sliced inverse regression for nonlinear manifold learning
Statistics and Computing
Construction of approximation spaces for reinforcement learning
The Journal of Machine Learning Research
Training sparse SVM on the core sets of fitting-planes
Neurocomputing
Smooth support vector learning for fuzzy rule-based classification systems
Intelligent Data Analysis
TS-fuzzy modeling based on ε-insensitive smooth support vector regression
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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