Abstract: With its inherent causal reasoning and superior capacity for handling uncertainty, the belief rule base (BRB) has been widely applied in complex systems modeling. As a generalization of ...

This is the preface for the book by E. N. Dzhafarov, J. V. Kujala, and V. H. Cervantes, titled Contextuality in Random Variables: A Systematic Introduction. It is to be published by Cambridge ...

Among the most powerful tools we have as programmers—perhaps the most powerful tools—are functions. We’ve already seen some built-in Python functions, for example, print() and type(). We’ll see many ...

rlnc is a Rust library crate that implements an advanced erasure-coding technique Random Linear Network Coding (RLNC) over galois field $GF(2^8)$ with irreducible ...

The trade-off between the security and efficiency of a lightweight crypto design is interlinked with the fine harnessing of entropy sources. Merging this source with a finite random sequence is an ...

Abstract: The deviation settlement mechanism (DSM) scheme enforces strict regulations on microgrid operators to comply with generation commitment norms set by grid operators. These norms are essential ...

Many types of economic problems require that we consider two variables at the same time. A typical example is the relation between price of a commodity and the demand or supply of that commodity. The ...

In recent years, neural networks have once again triggered an increased interest among researchers in the machine learning community. So-called deep neural networks model functions using a composition ...

ABSTRACT: This paper presents a new dimension reduction strategy for medium and large-scale linear programming problems. The proposed method uses a subset of the original constraints and combines two ...

There's an existing issue for Declarative custom functions, which forms the basis for much of this proposal. I'm opening a separate issue here, in order to make a broader proposal building on that, ...