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FEATURE SELECTION BY USING CLASSIFICATION AND REGRESSION TREES (CART)
Hyper-spectral Classification Feature Extraction Remote Sensing Pattern Recognition Agriculture
2015/7/29
Hyper-spectral remote sensing increases the volume of information available for research and practice, but brings with it the need for
efficient statistical methods in sample spaces of many dimensio...
How to Solve Classification and Regression Problems on High-Dimensional Data with a Supervised Extension of Slow Feature Analysis
Slow feature analysis feature extraction classifi cation regression pattern recognition training graphs nonlinear dimensionality reduction supervised learning high-dimensional data implicitly supervised image analysis
2015/7/10
Supervised learning from high-dimensional data, e.g., multimedia data, is a challenging task. We propose an extension of slow feature analysis (SFA) for supervised dimensionality reduction called grap...
Data envelopment analysis with classification and regression tree – a case of banking efficiency
banking efficiency bootstrapping classification and regression data envelopment analysis
2011/9/26
Data envelopment analysis (DEA) is a non-parametric method for measuring the efficiency and productivity of decision-making units (DMUs). On the other hand data mining techniques allow DMUs to explore...
Economic classification and regression problems and neural networks
multilayer neural networks classification bankruptcy prediction time series prediction neural network training error functions
2014/2/27
Artificial neural networks provide powerful models for solving many economic classifications, as well as regression problems. For example, they were successfully used for the discrimination between he...
Asymptotic Normality of Support Vector Machines for Classification and Regression
Nonparametric regression support vector machines asymptotic normality
2010/10/14
In nonparametric classification and regression problems, support vector machines (SVMs) attract much attention in theoretical and in applied statistics. In an abstract sense, SVMs can be seen as regu...