The advantage of using linear regression in the leaves of a regression tree is analysed in the paper. It is carried out how this modiication aaects the construction, pruning and interpretation of a regression tree. The modiication is tested on artiicial and real-life domains. The results show that the mod-iication is beneecial as it leads to smaller classiica-tion errors of induced regression t...

This chapter describes a tree-structured extension and generalization of the logistic regression method for fitting models to a binary-valued response variable. The technique overcomes a significant disadvantage of logistic regression, which is interpretability of the model in the face of multicollinearity and Simpson’s paradox. Section 1 summarizes the statistical theory underlying the logisti...

This thesis presents an investigation of the Collection of Parts Model for object categorization. Multiclass categorization is performed using the Collections of Parts model. Results using Support Vector Machines, L1 Logistic Regression and Boosted Decision Trees are presented and discussed. Methods to analyze confusion in these results are developed and results are presented. The Collections o...