We present an automatic alignment procedure which maps the disparate internal representations learned by several local dimensionality reduction experts into a single, coherent global coordinate system for the original data space. Our algorithm can be applied to any set of experts, each of which produces a low-dimensional local representation of a highdimensional input. Unlike recent efforts to ...

The authors analyzed foreign experience in the training of forensic experts. This is compared with corresponding system for doctors that existed Ukraine until 2022. A comparative analysis working curricula pathologists and was carried out. It shown proposed medical experts based on a three- month specialization can potentially lead to decrease qualifi cation level examination Ukraine, since suc...

We describe a new version of the Dutch word sense disambiguation system trained and tested on a corrected version of the SENSEVAL-2 data. The system is an ensemble of word experts; each word expert is a memory-based classifier of which the parameters are automatically determined through cross-validation on training material. The original best-performing system, which used only local context fea...

background : learning in a clinical environment is an inseparable part of a training program in medical education. to evaluate the quality of training in a clinical environment, a comprehensive questionnaire which is adjusted for local purposes is essential. this study was conducted to determine the validity and reliability of activities coaching context (acc)-questionnaire from the perspective...