Ridge Regression Learning Algorithm in Dual Variables

Least Squares Support Vector Machine Classifiers

Neural Processing Letters

Multiclass LS-SVMs: Moderated Outputs and Coding-Decoding Schemes

Neural Processing Letters

Latent Semantic Kernels

Journal of Intelligent Information Systems

Reduced Rank Kernel Ridge Regression

Neural Processing Letters

Relative Loss Bounds for Temporal-Difference Learning

Machine Learning

Bayesian framework for least-squares support vector machine classifiers, Gaussian processes, and kernel fisher discriminant analysis

Neural Computation

SMO algorithm for least-squares SVM formulations

Neural Computation

Complexity Approximation Principle and Rissanen's Approach to Real-Valued Parameters

ECML '00 Proceedings of the 11th European Conference on Machine Learning

Comparing the Bayes and Typicalness Frameworks

EMCL '01 Proceedings of the 12th European Conference on Machine Learning

A Greedy Training Algorithm for Sparse Least-Squares Support Vector Machines

ICANN '02 Proceedings of the International Conference on Artificial Neural Networks

Computationally Efficient Transductive Machines

ALT '00 Proceedings of the 11th International Conference on Algorithmic Learning Theory

Learning Additive Models Online with Fast Evaluating Kernels

COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory

MARK: a boosting algorithm for heterogeneous kernel models

Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining

Constructing Descriptive and Discriminative Nonlinear Features: Rayleigh Coefficients in Kernel Feature Spaces

IEEE Transactions on Pattern Analysis and Machine Intelligence

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The Journal of Machine Learning Research

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The Journal of Machine Learning Research

Benchmarking Least Squares Support Vector Machine Classifiers

Machine Learning

In Defense of One-Vs-All Classification

The Journal of Machine Learning Research

On-line prediction with kernels and the complexity approximation principle

UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence

Fast exact leave-one-out cross-validation of sparse least-squares support vector machines

Neural Networks

A general regression technique for learning transductions

ICML '05 Proceedings of the 22nd international conference on Machine learning

2005 Special Issue: Constructing Bayesian formulations of sparse kernel learning methods

Neural Networks - 2005 Special issue: IJCNN 2005

Handling missing values in support vector machine classifiers

Neural Networks - 2005 Special issue: IJCNN 2005

Additive Regularization Trade-Off: Fusion of Training and Validation Levels in Kernel Methods

Machine Learning

Efficient co-regularised least squares regression

ICML '06 Proceedings of the 23rd international conference on Machine learning

Graph kernels and Gaussian processes for relational reinforcement learning

Machine Learning

Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression

Pattern Recognition

Twin Support Vector Machines for Pattern Classification

IEEE Transactions on Pattern Analysis and Machine Intelligence

Improving the aggregating algorithm for regression

AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications

2008 Special Issue: Low rank updated LS-SVM classifiers for fast variable selection

Neural Networks

Efficient approximate leave-one-out cross-validation for kernel logistic regression

Machine Learning

Deterministic neural classification

Neural Computation

Regularized least squares support vector regression for the simultaneous learning of a function and its derivatives

Information Sciences: an International Journal

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Neurocomputing

Fuzzy Kernel Ridge Regression for Classification

ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I

Locally Weighted LS-SVM for Fuzzy Nonlinear Regression with Fuzzy Input-Output

Computational Intelligence and Security

Online Least Squares Support Vector Machines Based on Wavelet and Its Applications

ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III

Weighted Kernel Regression for Predicting Changing Dependencies

ECML '07 Proceedings of the 18th European conference on Machine Learning

Reducing SVR Support Vectors by Using Backward Deletion

KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part III

Sample Selection Bias Correction Theory

ALT '08 Proceedings of the 19th international conference on Algorithmic Learning Theory

Regularized least squares fuzzy support vector regression for financial time series forecasting

Expert Systems with Applications: An International Journal

Arbitrary norm support vector machines

Neural Computation

Simultaneous input variable and basis function selection for RBF networks

Neurocomputing

From Intracardiac Electrograms to Electrocardiograms: Models and Metamodels

FIMH '09 Proceedings of the 5th International Conference on Functional Imaging and Modeling of the Heart

Least squares one-class support vector machine

Pattern Recognition Letters

A normal least squares support vector machine (NLS-SVM) and its learning algorithm

Neurocomputing

Transduction with confidence and credibility

IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2

Kernel Methods in Computer Vision

Foundations and Trends® in Computer Graphics and Vision

Strengthening the Forward Variable Selection Stopping Criterion

ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II

Accurate Probabilistic Error Bound for Eigenvalues of Kernel Matrix

ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning

A general kernelization framework for learning algorithms based on kernel PCA

Neurocomputing

Building sparse representations and structure determination on LS-SVM substrates

Neurocomputing

Subset based least squares subspace regression in RKHS

Neurocomputing

Stability Bounds for Stationary φ-mixing and β-mixing Processes

The Journal of Machine Learning Research

Sparse Kernel ridge regression using backward deletion

PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence

Acquiring critical light points for illumination subspaces of face images by affinity propagation clustering

PCM'07 Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing

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

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

On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation

The Journal of Machine Learning Research

Reliable Predictive Intervals for the Critical Frequency of the F2 Ionospheric Layer

Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence

Large margin classifiers based on affine hulls

Neurocomputing

Primal twin support vector regression and its sparse approximation

Neurocomputing

Incorporating the loss function into discriminative clustering of structured outputs

IEEE Transactions on Neural Networks

An identity for kernel ridge regression

ALT'10 Proceedings of the 21st international conference on Algorithmic learning theory

An experimental comparison of cross-validation techniques for estimating the area under the ROC curve

Computational Statistics & Data Analysis

Error tolerance based support vector machine for regression

Neurocomputing

Weighted fuzzy ridge regression analysis with crisp inputs and triangular fuzzy outputs

International Journal of Advanced Intelligence Paradigms

A fast method of feature extraction for kernel MSE

Neurocomputing

Consistency of functional learning methods based on derivatives

Pattern Recognition Letters

Least squares wavelet support vector machines for nonlinear system identification

ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II

State feedback control based on twin support vector regression compensating for a class of nonlinear systems

ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II

Improved prediction of biomass composition for switchgrass using reproducing kernel methods with wavelet compressed FT-NIR spectra

Expert Systems with Applications: An International Journal

Domain adaptation in regression

ALT'11 Proceedings of the 22nd international conference on Algorithmic learning theory

Online SVR Training by Solving the Primal Optimization Problem

Journal of Signal Processing Systems

Least squares support vector machine based on continuous wavelet kernel

ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I

Fuzzy nonlinear regression model based on LS-SVM in feature space

FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery

Estimating predictive variances with kernel ridge regression

MLCW'05 Proceedings of the First international conference on Machine Learning Challenges: evaluating Predictive Uncertainty Visual Object Classification, and Recognizing Textual Entailment

Doubly regularized kernel regression with heteroscedastic censored data

ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I

A prediction interval estimation method for KMSE

ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I

Adaptive control scheme based on the least squares support vector machine network

International Journal of Applied Mathematics and Computer Science

Joint kernel maps

IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems

Active learning of combinatorial features for interactive optimization

LION'05 Proceedings of the 5th international conference on Learning and Intelligent Optimization

Overview and recent advances in partial least squares

SLSFS'05 Proceedings of the 2005 international conference on Subspace, Latent Structure and Feature Selection

Non-sparse multiple kernel fisher discriminant analysis

The Journal of Machine Learning Research

Algorithms for learning kernels based on centered alignment

The Journal of Machine Learning Research

Pruning least objective contribution in KMSE

Neurocomputing

Multilabel classification with principal label space transformation

Neural Computation

An identity for kernel ridge regression

Theoretical Computer Science

Multi-output least-squares support vector regression machines

Pattern Recognition Letters

Verification of digitally-intensive analog circuits via kernel ridge regression and hybrid reachability analysis

Proceedings of the 50th Annual Design Automation Conference

Eigenvalues perturbation of integral operator for kernel selection

Proceedings of the 22nd ACM international conference on Conference on information & knowledge management

Regularized vector field learning with sparse approximation for mismatch removal

Pattern Recognition

Hierarchical modified regularized least squares fuzzy support vector regression through multiscale approach

IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I

Sparse projections of medical images onto manifolds

IPMI'13 Proceedings of the 23rd international conference on Information Processing in Medical Imaging

Semiparametric spatial effects kernel minimum squared error model for predicting housing sales prices

Neurocomputing

Pointwise probability reinforcements for robust statistical inference

Neural Networks

Domain adaptation and sample bias correction theory and algorithm for regression

Theoretical Computer Science

Efficient regularized least-squares algorithms for conditional ranking on relational data

Machine Learning