By combining metal nodes with organic linkers we can potentially synthesize millions of
possible metal–organic frameworks (MOFs). The fact that we have so many materials opens …

Historically, social scientists have sought out explanations of human and social phenomena
that provide interpretable causal mechanisms, while often ignoring their predictive accuracy …

This tutorial extensively covers the definitions, nuances, challenges, and requirements for
the design of interpretable and explainable machine learning models and systems in …

After the boom and bust of cryptocurrencies' prices in recent years, Bitcoin has been
increasingly regarded as an investment asset. Because of its highly volatile nature, there is a …

A proposal that we think about digital technologies such as machine learning not in terms of
artificial intelligence but as artificial communication. Algorithms that work with deep learning …

Feature selection, as a dimensionality reduction technique, aims to choosing a small subset
of the relevant features from the original features by removing irrelevant, redundant or noisy …

A few useful things to know about machine learning Page 1 78 communications of the acm |
october 2012 | vol. 55 | no. 10 review articles Machine learning systeMs automatically learn …

Leadership remains a popular and heavily researched area in the social sciences. Such
popularity has led to a proliferation of new constructs within the leadership domain. Here, we …

How do we compare between hypotheses that are entirely consistent with observations?
The marginal likelihood (aka Bayesian evidence), which represents the probability of …

The knowledge discovery process is as old as Homo sapiens. Until some time ago this
process was solely based on the 'natural personal'computer provided by Mother Nature …