Sensor fusion via statistical hypothesis testing for prognosis and degradation analysis
Due to the rapid development of sensing technologies, multiple sensors became available
for real-time monitoring of the degradation status of machine systems. With such a wealth of …
for real-time monitoring of the degradation status of machine systems. With such a wealth of …
A collaborative learning framework for estimating many individualized regression models in a heterogeneous population
Mixed-effect models (MEMs) have been found very useful for modeling complex dataset
where many similar individualized regression models should be estimated. Like many …
where many similar individualized regression models should be estimated. Like many …
An online updating method for time-varying preference learning
The rapid proliferation of smart, personal technologies has given birth to smart
Transportation Demand Management (TDM) systems that can give personalized incentives …
Transportation Demand Management (TDM) systems that can give personalized incentives …
Fair Collaborative Learning (FairCL): A Method to Improve Fairness amid Personalization
Model personalization has attracted widespread attention in recent years. In an ideal
situation, if individuals' data are sufficient, model personalization can be realized by building …
situation, if individuals' data are sufficient, model personalization can be realized by building …
A learning framework for personalized random utility maximization (rum) modeling of user behavior
Understanding user behavior is crucial for the success of many emerging applications that
aim to provide personalized services for target users, such as many patient-centered health …
aim to provide personalized services for target users, such as many patient-centered health …
[图书][B] Data-driven Approaches for Condition Monitoring and Predictive Analytics
AA Chehade - 2017 - search.proquest.com
The rapid development of sensing and communication technologies has enabled an
unprecedented opportunity for condition monitoring, making multiple data streams a …
unprecedented opportunity for condition monitoring, making multiple data streams a …
[图书][B] Individual Preference Learning with Collaborative Learning Framework
X Zhu - 2020 - search.proquest.com
Smart, personal devices that interact with individuals make it possible to trigger desired
behavioral changes with personalized incentives. Personalized incentives are the incentives …
behavioral changes with personalized incentives. Personalized incentives are the incentives …
[图书][B] Modeling Heterogeneous User Behavior in Interactive Systems by Graphical Model and Collaborative Learning Framework
J Feng - 2021 - search.proquest.com
In recent years, the rapid technological innovations of smart personal technologies have
given rise to the growth of smart apps that can interact with users and implement …
given rise to the growth of smart apps that can interact with users and implement …
Large-Scale Personalized Health Surveillance by Collaborative Learning and Selective Sensing
Y Lin - 2017 - digital.lib.washington.edu
Recent advance in sensing and information technology provides abundance of risk
predictive data, leading to the development of personalized health surveillance. However …
predictive data, leading to the development of personalized health surveillance. However …