Time has always seemed like the one thing physics could count on. Matter changes, stars die, particles flicker in and out, ...
Abstract: Broad learning system (BLS), a novel incremental learning algorithm, has attracted more and more attention and application. BLS achieves a perfect balance ...
TensorFlow Probability is a library for statistical computation and probabilistic modeling built on top of TensorFlow. Its building blocks include a vast range of distributions and invertible ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
People distort probability in decision under risk and many other tasks. These distortions can be large, leading us to make markedly suboptimal decisions. There is no agreement on why we distort ...
When tracking a hurricane, forecasters often show a map depicting a “cone of uncertainty.” It starts as a point—the hurricane's current position—and widens into a swath of territory the storm might ...
Natural disasters such as the recent Hurricanes Harvey, Irma, and Maria highlight the need for quantitative estimates of the risk of such disasters. Statistically based risk assessment suffers from ...
Perhaps the most enduring idea from the early days of AI is that of a declarative system reasoning over explicitly represented knowledge with a general inference engine. Such systems require a formal ...
Two fundamental properties of real complex networks have attracted much attention recently: the small-world and the scale-free properties. Many naturally occurring networks are ‘small world’ because ...
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