In this paper, we investigate the dimension expansion property of 3 layer feedforward neural networks and provide a helpful insight into how neural networks define complex decision boundaries. First, we note that adding a hidden neuron is equivalent to expanding the dimension of the space defined by the outputs of the hidden neurons. Thus, if the number of hidden neurons is larger than the numb...

What does it mean for an algorithm to be fair? Different papers use different notions of algorithmic fairness, and although these appear internally consistent, they also seem mutually incompatible. We present a mathematical setting in which the distinctions in previous papers can be made formal. In addition to characterizing the spaces of inputs (the “observed” space) and outputs (the “decision...

background the most common space occupying lesions of the fetal thorax are congenital diaphragmatic hernia (cdh), congenital cystic adenomatoid malformation (ccam), and bronchopulmonary sequestration (bps). although applications of prenatal mri have been vastly improved in the recent years, its use in the assessment of space occupying lesions of the fetal chest differs among centers. objectives...

In this paper, a bi-objective multi-product single-vendor single-buyer supply chain problem is studied under green vendor-managed inventory (VMI) policy based on the economic production quantity (EPQ) model. To bring the model closer to real-world supply chain, four constraints of model including backordering cost, number of orders, production budget and warehouse space are considered stochasti...

Markov Decision Processes (MDPs) are a classical framework for stochastic sequential decision problems, based on an enumerated state space representation. More compact and structured representations have been proposed: factorization techniques use state variables representations, while decomposition techniques are based on a partition of the state space into sub-regions and take advantage of th...

DNF systems divide the input space into decision surfaces, defined by conjunctions of conditions based on attribute-value pairs. This means that the decision surfaces are orthogonal to the axis of the tested attribute and parallel to all the other axes. In this paper, we present the system Ltree, that is able to define decision surfaces both orthogonal and oblique to the axes defined by the att...

Binary Decision Diagram (in short BDD) is an efficient data structure which has been used widely in computer science and engineering. BDD-based attack in key stream cryptanalysis is one of the best forms of attack in its category. In this paper, we propose a new key stream attack which is based on ZDD(Zero-suppressed BDD). We show how a ZDD-based key stream attack is more efficient in time and ...

Although the importance of locating in manufacturing and service companies is not a new issue, one of significance applications is to determine the appropriate location for warehouses in manufacturing workshops warehouses to the maintenance of materials or products. In any organizations, Finding the suitable site for warehouses establishments to increase customer service and efficiency is one o...

We designed two decision support tools and employed them during a one-week, simulation-driven experiment that included emergency responders acting in their real-life roles. Each tool visualized a “decision space”: a diagrammatic depiction of the relative desirability of one option versus another, including the inherent uncertainty in the potential outcomes. One requirement was to develop a tool...