This paper deals with the issue of concept-drift in machine learning context high dimensional problems. In contrast to previous concept drift detection methods, this application does not depend on model use for a specific target variable, but rather, it attempts assess as an independent characteristic evolution dataset. major achievement enables data be tested presence drift, independently prob...

In this paper mathematical models are proposed for calculating rotational speed, signal period, duty cycle and phase drift of gear tooth speed sensors with dual outputs. The proposed mathematical models are applied to parameter determination/optimization and target wheel design of Hall Effect gear tooth sensors and measuring systems. Experiment results show that the mathematical models are very...

We develop and analyze a class of unbiased Monte Carlo estimators for multivariate jump-diffusion processes with state-dependent drift, volatility, jump intensity size. A change measure argument is used to extend existing the inter-arrival diffusion include jumps. Under standard regularity conditions on coefficient target functions, we prove unbiasedness finite variance properties resulting est...