Using support vector machines for time series prediction

Soft Margins for AdaBoost

Machine Learning

Natural discriminant analysis using interactive Potts models

Neural Computation

Practical selection of SVM parameters and noise estimation for SVM regression

Neural Networks

Trading variance reduction with unbiasedness: the regularized subspace information criterion for robust model selection in kernel regression

Neural Computation

New Support Vector Algorithms

Neural Computation

Prediction in Marketing Using the Support Vector Machine

Marketing Science

Dynamic support vector machines for non-stationary time series forecasting

Intelligent Data Analysis

Data mining approaches for modeling complex electronic circuit design activities

Computers and Industrial Engineering

A POD-Based Center Selection for RBF Neural Network in Time Series Prediction Problems

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

Predicting Time Series Using Incremental Langrangian Support Vector Regression

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

Application Research of Support Vector Machines in Dynamical System State Forecasting

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

A dynamic holding strategy in public transit systems with real-time information

Applied Intelligence

Dynamic Factor Graphs for Time Series Modeling

ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II

A model updating strategy for predicting time series with seasonal patterns

Applied Soft Computing

European Option Pricing by Using the Support Vector Regression Approach

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

Kernel methods applied to time series forecasting

IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks

Novel approaches for online playout delay prediction in VoIP applications using time series models

Computers and Electrical Engineering

Reliable prediction system based on support vector regression with genetic algorithms

ICNC'09 Proceedings of the 5th international conference on Natural computation

Approximate k-NN delta test minimization method using genetic algorithms: Application to time series

Neurocomputing

On Lagrangian support vector regression

Expert Systems with Applications: An International Journal

Multiple incremental decremental learning of support vector machines

IEEE Transactions on Neural Networks

A study of modelling non-stationary time series using support vector machines with fuzzy segmentation information

CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I

An improved adaptive RBF network for classification of left and right hand motor imagery tasks

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

Streamflow forecasting by SVM with quantum behaved particle swarm optimization

Neurocomputing

1-Norm extreme learning machine for regression and multiclass classification using Newton method

Neurocomputing

Finite Newton method for implicit Lagrangian support vector regression

International Journal of Knowledge-based and Intelligent Engineering Systems

Smooth Newton method for implicit Lagrangian twin support vector regression

International Journal of Knowledge-based and Intelligent Engineering Systems