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Renowned Machine Learning Researcher and Inclusive Computing Leader Dr. Carla Brodley Joins Alegion's Board of Directors

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AUSTIN, Texas and BOSTON, April 27, 2021 /PRNewswire/
Alegion Inc., a leading training data platform provider for machine learning has appointed Dr. Carla Brodley to its Board of Directors. Carla is dean of Northeastern s Khoury College of Computer Sciences and executive director of Northeastern University s Center for Inclusive Computing. She is a Fellow of the Association for Computing Machinery, the American Association for the Advancement of Science, and the Association for the Advancement of Artificial Intelligence. Dr. Brodley s interdisciplinary machine learning research has led to advances not only in computer science, but in many other areas including remote sensing, neuroscience, astrophysics, computational biology, chemistry, and predictive medicine. ....

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Critique of 2018 Turing Award for Drs. Bengio & Hinton & LeCun

Conclusion (~1,700 words).
All backed up by over 200 references (~6,500 words).
We must stop crediting the wrong people for inventions made by others.
Instead let s heed the recent call in the journal
Nature:
Let 2020 be the year in which we value those who ensure that
science is self-correcting [SV20].
Like those who know me can testify, finding and citing original sources of scientific and technological innovations is important to me, whether they are mine or other people s [DL1][DL2][HIN][NASC1-9]. The present page is offered as a resource for computer scientists who share this inclination.
By grounding research in its true intellectual foundations and crediting the original inventors, ....

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Benchmarking Building Control Systems Thanks to Calibrated Models

Benchmarking Building Control Systems Thanks to Calibrated Models
Sponsored by CSEMJan 19 2021
Buildings play an important role in total energy consumption and worldwide greenhouse gas (GHG) emissions. Smart control strategies are key technological enablers for reducing the GHG footprints of buildings.
3,4 but their simple nature, combined with possible tuning errors, can lead to sub-optimal control behavior.
5 Automatized, efficient building control can significantly reduce energy consumption and emissions.
Research has been done into model predictive control (MPC),
6,7,8,9 adaptive or learning-based MPC
10 and reinforcement learning (RL)
11,12,13 but many of these studies have suffered from the non-standardized evaluation of their control performance.
Energym’s Contribution ....

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Incremental Risk Minimization Algorithm

Incremental Risk Minimization Algorithm
Incremental Regression with Polynomials ↑
Incremental (or on-line) learning regression is the process of adapting a model one example at a time without accumulating a batch of data. It has the advantages of allowing continuous adaptation to non-stationary environments, easily handling big data through stream processing, and a fixed low computation and memory demand.
The easiest solution is to perform a gradient descent on a squared error metric with each new training example. But this solution does not work well for complex model structures. Especially, the influence of a non-linear transformation of the inputs through a fixed model structure has long been an open problem. During my PhD I worked on an approach which is able to deal with a broad class of non-linear model structures. Its emphasis is on minimizing the effect of local training examples on changes of the global model. Thus, it yields a robust behavio ....

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