In this paper we present and analyze a model for clustering in networks that offer Software as a Service (SaaS). In this problem, organizations requesting a set of applications have to be assigned to clusters such that the costs of opening clusters and installing the necessary applications in...

We propose a hybrid quantum-classical algorithm, originated from quantum chemistry, to price European and Asian options in the Black-Scholes model. Our approach is based on the equivalence between the pricing partial differential equation and the Schrodinger equation in imaginary time. We devise...

This paper presents the R package AdMit which provides functions to approximate and sample from a certain target distribution given only a kernel of the target density function. The core algorithm consists in the function AdMit which fits an adaptive mixture of Student-t distributions to the...

Legal governance and regulation is becoming increasingly reliant on data collection and algorithmic data processing. In the area of copyright, on-line protection of digitized works is frequently mediated by algorithmic enforcement systems intended to purge illicit content and limit the liability...

Machine learning systems, a form of artificial intelligence (AI), are increasingly being deployed both for the creation of innovative works and the administration of intellectual property (IP) rights associated with those works. At the same time, evidence of racial bias in IP systems is manifest...

Algorithmic or automated decision-making has become commonplace, with firms implementing either rule-based or statistical models to determine whether or not to provide services to customers based on their past behaviors. Policy-makers are pressed to determine if and how to require firms to...