Support vector machines, reproducing kernel Hilbert spaces, and randomized GACV

The generalized Bayesian committee machine

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

A Tutorial on Support Vector Machines for Pattern Recognition

Data Mining and Knowledge Discovery

Support Vector Machines and the Bayes Rule in Classification

Data Mining and Knowledge Discovery

Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities

Machine Learning

A Probabilistic Framework for SVM Regression and Error Bar Estimation

Machine Learning

On the Dual Formulation of Regularized Linear Systems with Convex Risks

Machine Learning

The Relaxed Online Maximum Margin Algorithm

Machine Learning

Statistical Properties and Adaptive Tuning of Support Vector Machines

Machine Learning

Hybrid wavelet-support vector classification of waveforms

Journal of Computational and Applied Mathematics

Using Hard Classifiers to Estimate Conditional Class Probabilities

ECML '02 Proceedings of the 13th European Conference on Machine Learning

A Generalized Representer Theorem

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

On different facets of regularization theory

Neural Computation

Optimization methods in massive data sets

Handbook of massive data sets

Kernel partial least squares regression in reproducing kernel hilbert space

The Journal of Machine Learning Research

A generalized kernel approach to dissimilarity-based classification

The Journal of Machine Learning Research

Radius margin bounds for support vector machines with the RBF kernel

Neural Computation

Web unit mining: finding and classifying subgraphs of web pages

CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management

Parameter detection of thin films from their x-ray reflectivity by support vector machines

Applied Numerical Mathematics

Learning adaptive kernels for model diagnosis

Design and application of hybrid intelligent systems

A tutorial on support vector regression

Statistics and Computing

On Robustness Properties of Convex Risk Minimization Methods for Pattern Recognition

The Journal of Machine Learning Research

Support Vector Machine Soft Margin Classifiers: Error Analysis

The Journal of Machine Learning Research

On a Class of Support Vector Kernels Based on Frames in Function Hilbert Spaces

Neural Computation

Gaussian Processes for Classification: Mean-Field Algorithms

Neural Computation

New Support Vector Algorithms

Neural Computation

Kernel logistic PLS: A tool for supervised nonlinear dimensionality reduction and binary classification

Computational Statistics & Data Analysis

Gini Support Vector Machine: Quadratic Entropy Based Robust Multi-Class Probability Regression

The Journal of Machine Learning Research

Undercomplete Blind Subspace Deconvolution

The Journal of Machine Learning Research

Finding and classifying web units in websites

International Journal of Business Intelligence and Data Mining

VC Theory of Large Margin Multi-Category Classifiers

The Journal of Machine Learning Research

Privacy-preserving classification of vertically partitioned data via random kernels

ACM Transactions on Knowledge Discovery from Data (TKDD)

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

Event Detection and Tracking Based on Improved Incremental K-Means and Transductive SVM

ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence

Global optimization of expensive-to-evaluate functions: an empirical comparison of two sampling criteria

Journal of Global Optimization

Probabilistic Ranking Support Vector Machine

ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II

An informational approach to the global optimization of expensive-to-evaluate functions

Journal of Global Optimization

Robustness of reweighted Least Squares Kernel Based Regression

Journal of Multivariate Analysis

Reproducing kernel banach spaces for machine learning

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks

Pattern classification with class probability output network

IEEE Transactions on Neural Networks

Efficient wavelet adaptation for hybrid wavelet-large margin classifiers

Pattern Recognition

Robust truncated support vector regression

Expert Systems with Applications: An International Journal

Reproducing Kernel Banach Spaces for Machine Learning

The Journal of Machine Learning Research

A Bayesian 3D volume reconstruction for confocal micro-rotation cell imaging

MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention

From linear to non-linear kernel based classifiers for bankruptcy prediction

Neurocomputing

Using support vector machines for generating synthetic datasets

PSD'10 Proceedings of the 2010 international conference on Privacy in statistical databases

A novel technique for subpixel image classification based on support vector machine

IEEE Transactions on Image Processing

Method for determining parameters of posterior probability SVM based on relative cross entropy

AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part III

A system for detecting and tracking internet news event

PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I

Bayesian nonlinear regression for large p small n problems

Journal of Multivariate Analysis

Bayesian multiple response kernel regression model for high dimensional data and its practical applications in near infrared spectroscopy

Computational Statistics & Data Analysis

Probabilistic outputs for twin support vector machines

Knowledge-Based Systems

Web classification of conceptual entities using co-training

Expert Systems with Applications: An International Journal

Feasibility of an objective electrophysiological loudness scaling: A kernel-based novelty detection approach

Artificial Intelligence in Medicine

Regularized learning in Banach spaces as an optimization problem: representer theorems

Journal of Global Optimization

Introducing the Discriminative Paraconsistent Machine (DPM)

Information Sciences: an International Journal

Classifying circuit performance using active-learning guided support vector machines

Proceedings of the International Conference on Computer-Aided Design

Fuzzy support vector machine based on within-class scatter for classification problems with outliers or noises

Neurocomputing

Radial basis function regularization for linear inverse problems with random noise

Journal of Multivariate Analysis

Multicategory large-margin unified machines

The Journal of Machine Learning Research

Eigenvalues perturbation of integral operator for kernel selection

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

Review and performance comparison of SVM- and ELM-based classifiers

Neurocomputing

Robust classification of imbalanced data using one-class and two-class SVM-based multiclassifiers

Intelligent Data Analysis - Business Analytics and Intelligent Optimization