Recent years have seen the development of many novel scoring tools for
d...
This work provides a theoretical analysis for optimally solving the pose...
This study presents a theoretical structure for the monocular pose estim...
Model-based recursive partitioning (MOB) is a semi-parametric statistica...
In cable driven parallel robots (CDPRs), a single cable malfunction usua...
This work provides a theoretical framework for the pose estimation probl...
The generalization performance of a risk prediction model can be evaluat...
How to select variables and identify functional forms for continuous
var...
Random forests have become an established tool for classification and
re...
Background: The development of classification methods for personalized
m...
Background: The development of classification methods for personalized
m...
Statistical boosting algorithms have triggered a lot of research during ...
Joint Models for longitudinal and time-to-event data have gained a lot o...
The development of molecular signatures for the prediction of time-to-ev...