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The ability of correctly evaluating the learned models is one of the most crucial aspects of machine learning. On the one hand, it is necessary to assess that one model…

INFERLab
(Intelligent Insfrastructure Research Lab)

The Intelligent Infrastructure Research Lab (INFERLab) is composed of a dedicated group of researchers at Carnegie Mellon University who are interested in rethinking and redesigning our built environment to improve its operational efficiency, as well as increase its resilience, adaptiveness and autonomy. In an increasingly resource-constrained world, our infrastructure systems will need to be able to interact with their environment and with each other in order to maximize their efficiency and minimize risks. Founded in 2011 by Dr. Mario Berges in the Civil and Environmental Engineering Department, the INFERLab is interested in undertaking research to help solve these problems.

What are we working on?

1
Sensing and Instrumentation Systems
2
Smart Grid Technologies
3
Building Automation Systems
4
Structural Health Monitoring
5
Geotechnical Systems Monitoring

Blog

Some quick things in R

18 Jul 2012

Part of a revelation I’ve had this past couple of months relates to how different programs are good at doing different things. For instance, R is very intuitive and fast when it comes to doing…

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Publications

One Size Does Not Fit All: Averaged Data on Household Electricity...

Residential electricity users need more detail than monthly bills to reduce consumption. With the emergence of technologies that provide detailed usage estimates for energy consumption, two questions arise. First, how many different energy-consuming appliances contribute…

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News

Paper accepted for SmartGridComm’13

A paper written by Emre Can Kara and Mario Berges in¬†collaboration¬†with Zico Kolter from the School of Computer Science, Tugce Yuksel from Mechanical Engineering, Gabriela Hug and Bruce Krogh from Electrical and Computer Engineering is…

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