Support vector density estimation

Support vector machines: hype or hallelujah?

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Large Scale Kernel Regression via Linear Programming

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Kernel Matching Pursuit

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Comparisons of QP and LP Based Learning from Empirical Data

Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems

Regularized principal manifolds

The Journal of Machine Learning Research

A tutorial on support vector regression

Statistics and Computing

Prediction in Marketing Using the Support Vector Machine

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FRSDE: Fast reduced set density estimator using minimal enclosing ball approximation

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An orthogonal forward regression technique for sparse kernel density estimation

Neurocomputing

Multi-group support vector machines with measurement costs: A biobjective approach

Discrete Applied Mathematics

Support vector regression from simulation data and few experimental samples

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Orthogonal-least-squares regression: A unified approach for data modelling

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Unsupervised nonparametric density estimation: a neural network approach

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

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INFORMS Journal on Computing

Regression based D-optimality experimental design for sparse kernel density estimation

Neurocomputing

L0-constrained regression for data mining

PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining

Unbiased SVM density estimation with application to graphical pattern recognition

ICANN'07 Proceedings of the 17th international conference on Artificial neural networks

Particle swarm optimization aided orthogonal forward regression for unified data modeling

IEEE Transactions on Evolutionary Computation

Probability density estimation with tunable kernels using orthogonal forward regression

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis

Efficient particle filtering via sparse kernel density estimation

IEEE Transactions on Image Processing

Multikernel semiparametric linear programming support vector regression

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A marked point process for modeling lidar waveforms

IEEE Transactions on Image Processing

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AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence