This article addresses a key question of why businesses are failing to maximize business value from their artificial intelligence (AI) investments and proposes strategic decision-making framework for AI address this problem. We suggest that firm's strategy must drive AI-driven outcomes measurements, which in turn should the implementation decisions. Very often, we find fail successfully cast pr...

The classic influence maximization problem explores the strategies for deploying cascades such that total is maximized, and it assumes seed nodes initiate are computed prior to diffusion process. In its adaptive version, allowed be launched in an manner after observing certain results. this article, we provide a systematic study on problem, focusing algorithmic analysis of general feedback mode...

We present and compare statistical methods for calculating p-values for discrete distributions in the presence of nuisance parameters in small samples. The methods we consider are asymptotic, conditional, and unconditional, and combinations thereof, where the p-value from one method is used in sequel as a test statistic in another method. We consider tests were for a given significance level we...

the determination of the ultimate pit limit (upl) is the first step in the open pit mine planning process. in this stage that parts of the mineral deposit that are economic to mine are determined. there are several mathematical, heuristic and meta-heuristic algorithms to determine upl. the optimization criterion in these algorithms is maximization of the total profit whilst satisfying the...

The focal point of the revealed preference (RP) valuation literature, including recreation demand and random utility maximization (RUM) models, has been on eliciting the “use” value associated with environmental amenities; i.e., that portion of value associated with direct use of a resource. Mäler’s (1974) concept of weak complementarity is typically invoked to justify this focus. Indeed, weak ...

Asymptotic and exact conditional approaches have often been used for testing agreement between two raters with binary outcomes. The exact conditional approach is guaranteed to respect the test size as compared to the traditionally used asymptotic approach based on the standardized Cohen's kappa coefficient. An alternative to the conditional approach is an unconditional strategy which relaxes th...

One of the fundamental issues in social networks is the influence maximization problem, where the goal is to identify a small subset of individuals such that they can trigger the largest number of members in the network. In real-world social networks, the propagation of information from a node to another may incur a certain amount of time delay; moreover, the value of information may decrease o...