The nature of statistical learning theory
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Machine Learning
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
A comparison between neural networks and chaotic models for exchange rate prediction
Computational Statistics & Data Analysis
Dynamically adapting kernels in support vector machines
Proceedings of the 1998 conference on Advances in neural information processing systems II
Neural Networks: A Comprehensive Foundation
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Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Choosing Multiple Parameters for Support Vector Machines
Machine Learning
Computers and Operations Research - Special issue: Emerging economics
Training Support Vector Machines: an Application to Face Detection
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Support Vector Machine for Regression and Applications to Financial Forecasting
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6 - Volume 6
Properties of Support Vector Machines
Properties of Support Vector Machines
SVMTorch: support vector machines for large-scale regression problems
The Journal of Machine Learning Research
Regression neural network for error correction in foreign exchange forecasting and trading
Computers and Operations Research
Estimation of Value-at-Risk for Exchange Risk Via Kernel Based Nonlinear Ensembled Multi Scale Model
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
Learning to Trade with Incremental Support Vector Regression Experts
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
Financial time series forecasting using independent component analysis and support vector regression
Decision Support Systems
Expert Systems with Applications: An International Journal
Machine learning and genetic algorithms in pharmaceutical development and manufacturing processes
Decision Support Systems
Expert Systems with Applications: An International Journal
Classification by vertical and cutting multi-hyperplane decision tree induction
Decision Support Systems
Chaos-based support vector regressions for exchange rate forecasting
Expert Systems with Applications: An International Journal
A new class of hybrid models for time series forecasting
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
International Journal of Intelligent Systems in Accounting and Finance Management
Save the best for last? The treatment of dominant predictors in financial forecasting
Expert Systems with Applications: An International Journal
New robust forecasting models for exchange rates prediction
Expert Systems with Applications: An International Journal
A new linear & nonlinear artificial neural network model for time series forecasting
Decision Support Systems
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Exchange rate forecasting is an important problem. Several forecasting techniques have been proposed in order to gain some advantages. Most of them are either as good as random walk forecasting models or slightly worse. Some researchers argued that this shows the efficiency of the exchange market. We propose a two stage forecasting model which incorporates parametric techniques such as autoregressive integrated moving average (ARIMA), vector autoregressive (VAR) and co-integration techniques, and nonparametric techniques such as support vector regression (SVR) and artificial neural networks (ANN). Comparison of these models showed that input selection is very important. Furthermore, our findings show that the SVR technique outperforms the ANN for two input selection methods.