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Reducing redundant information to find simplifying patterns in data sets and complex networks is a scientific challenge in many knowledge fields. Moreover, detecting the dimensionality of the data is ...

In the realm of data analysis and machine learning, the abundance of information often comes hand in hand with the curse of high dimensionality. As datasets grow larger and more complex, the challenge ...

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on creating an approximation of a dataset that has fewer columns. Imagine that you have a dataset that has many ...

Complex computer systems such as 5G networks and smart transportation have the potential to transform the world, but electrical and biomedical engineering Assistant Professor Hao Xu sees a stumbling ...

Scientists demonstrate the artificial control of crystal structure dimensionality to switch electronic conductivity in three orders of magnitude. The scientist succeeded to induce the direct phase ...

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Arguably, all of scientific inquiry in modern times begins with some sort of model. A model takes different parameters you are studying and uses them to make some claim about how our world works. It ...