Detecting malignant patients via modified boosted tree

Boosted Decision Tree for Q-matrix Refinement

In recent years, substantial improvements were obtained in the effectiveness of data driven algorithms to validate the mapping of items to skills, or the Q-matrix. In the current study we use ensemble algorithms on top of existing Qmatrix refinement algorithms to improve their performance. We combine the boosting technique with a decision tree. The results show that the improvements from both t...

Insurance Premium Prediction via Gradient Tree- Boosted Tweedie Compound Poisson Models

Example-Based Image Registration via Boosted Classifiers

We propose a novel image registration framework which uses classifiers trained from examples of aligned images to achieve registration. Our approach is designed to register images of medical data where the physical condition of the patient has changed significantly and image intensities are drastically different. We use two boosted classifiers for each degree of freedom of image transformation....

Urinary excretion of modified nucleosides in patients with malignant mesothelioma.

Transfer RNA is the most complex biomacromolecule in both structure and function. The complexity of its structure is caused by a large variety of enzymes which add modifying groups to the four bases after the primary synthesis. The most abundant of these enzymes are the transfer RNA methylases, which add methyl groups at various positions in the macromolecule. These methylating enzymes were fou...

Urinary Excretion of Modified Nucleosides in Patients with Malignant Mesothelioma1

Transfer RNA is the most complex biomacromolecule in both structure and function. The complexity of its structure is caused by a large variety of enzymes which add modifying groups to the four bases after the primary synthesis. The most abundant of these enzymes are the transfer RNA methylases, which add methyl groups at various positions in the macromolecule. These methylating enzymes were fou...