Background: Cross-validation (CV) is an effective method for estimating the prediction error of a classifier. Some recent articles have proposed methods for optimizing classifiers...
We analyze the neutron induced soft error rate (SER) by modeling induced error pulse using two parameters, occurrence frequency and probability density function for the pulse widt...
The power hazard function is defined by h(t) = atk . In this investigation, we use the least squares type estimation to estimate the parameter a when k is known, the parameter k w...
DNA self-assembly is emerging as a key paradigm for nano-technology, nano-computation, and several related disciplines. In nature, DNA self-assembly is often equipped with explicit...
This paper presents an error modeling of an odometry system for a synchronous-drive system and a possible strategy for evaluating this error. The odometry error is modeled by intro...