Statistical Validation Framework for Automotive Vehicle Simulations Using Uncertainty Learning

Model Validation for Simulations of Vehicle Systems

This paper deals with model validation of dynamic systems (with vehicle systems being of particular interest) that have multiple time-dependent output. First, we review several validation methodologies that have been reported in the literature: graphical comparison, feature-based techniques, PDF/CDF based techniques, Bayesian posterior estimation, classical hypothesis testing and Bayesian hypot...

Presenting a Framework for Supporting Life-long Learning in Iranian public libraries and Its validation

Purpose: Since nowadays public libraries are considered lifelong learning centers, these centers must have the required standards and conditions to support lifelong learning in order that they could help society members to achieve their personal and professional learning more effectively. Accordingly, it is necessary to develop and provide a mechanism to support lifelong learning in public libr...

Uncertainty Analysis for Computer Simulations through Validation and Calibration

Electric Vehicle Driver Clustering using Statistical Model and Machine Learning

Electric Vehicle (EV) is playing a significant role in the distribution energy management systems since the power consumption level of the EVs is much higher than the other regular home appliances. The randomness of the EV driver behaviors make the optimal charging or discharging scheduling even more difficult due to the uncertain charging session parameters. To minimize the impact of behaviora...

Representation Learning for Clustering: A Statistical Framework

We address the problem of communicating domain knowledge from a user to the designer of a clustering algorithm. We propose a protocol in which the user provides a clustering of a relatively small random sample of a data set. The algorithm designer then uses that sample to come up with a data representation under which kmeans clustering results in a clustering (of the full data set) that is alig...