This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...

Global X Variable Rate Preferred ETF (NYSEARCA:PFFV) - $0.1375. Payable Oct 08; for shareholders of record Oct 01; ex-div Oct 01. More on Global X Variable Rate Preferred ETF PFFV's Portfolio ...

A generalized distance for discrete variables which is analogous to the Mahalanobis generalized distance is presented. Comparisons are made with other distance measures which are closely related and ...

Using a Tesla Model Y for a driver's training test may be a bad idea, with another example of a failure due to advanced vehicle features. TSLA stock is moving in positive territory. Track the latest ...

Distributions for the Global X US Dollar Currency ETF are declared and paid in U.S. dollars, including those listed under the Canadian dollar-traded ticker DLR. The approximate Canadian dollar ...

The relative frequency definition of probability says: If an experiment is repeated, the probability of an event (a specified outcome of the experiment) is the relative frequency of occurrence of that ...

Learn what residual standard deviation is, how to calculate it in regression analysis, and why it's crucial for measuring predictability and goodness-of-fit in data modeling.

Learn how to use the High-Low Method to separate fixed and variable costs efficiently. Discover its applications, limitations, and how to calculate costs.

We all know the truism “Correlation doesn’t imply causation,” but when we see lines sloping together, bars rising together, or points on a scatterplot clustering, the data practically begs us to ...

How to create more value by connecting experts from inside and outside the organization by Amy C. Edmondson, Sujin Jang and Tiziana Casciaro Though most executives recognize the importance of breaking ...

Abstract: Generative adversarial networks as a powerful technique is also used in domain adaptation (DA) problem. Existing adversarial DA methods mainly conduct domain-wise alignment to alleviate ...

Centrality measures allow to identify important nodes in networked systems. An open question in network theory is the empirical observation that a node’s centrality—whose computation requires ...