Applications of machine learning have shown repeatedly that the standard assumptions of uniform class distribution and uniform misclassification costs rarely hold. Little is known about how to select classifiers when error costs and class distributions are not known precisely at training time, or when they can change. We present a method for analyzing and visualizing the performance of classifi...

This chapter describes Hume: a functionally-based language for programming with bounded resource usage, including time and space properties. The purpose of the Hume language design is to explore the expressibility/costability spectrum in resource-constrained systems, such as real-time embedded or control systems. It is unusual in being based on a combination of λ-calculus and finite state machi...

This paper leverages human knowledge and understanding in machine learning algorithms for constructing ontologies. Ontology construction is a highly subjective task where a human user builds a data model which represents a set of concepts within a domain and the relationships between those concepts. Personal preferences have crucial impact on manuallybuilt ontologies, however are inadequately c...

Metals-additive manufacturing (MAM) is enabling unprecedented design freedom and the ability to produce significantly lighter weight parts with the same performance, offering the possibility of significant environmental and economic benefits in many different industries. However, the total production costs of MAM will need to be reduced substantially before it will be widely adopted across the ...

A novel machine family – dual-rotor, Radial-Flux, Permanent-Magnet (RFPM) machines -has demonstrated that it can substantially improve machine torque density and efficiency. The objective of this paper is to provide a performance comparison between two major alternatives of this technology: Surface-mounted dual-rotor RFPM machines and Axial-Flux Permanent-Magnet (AFPM) machines. The comparison ...

I this paper we consider workforce management in repair/maintenance environments in which repairmen are cross-trained fo affend more than one fype of machine. In this confext, we sfudy the machine-repairman problem wifh heferogeneous machines buf with partially cross-trained repairmen. We introduce simple repairmanassignment rules as well as machine-priority rules thaf are effecfive in mirumizi...

This paper considers the impact of inflation on the EPQ model for deteriorating items subject to random machine breakdowns and fixed maintenance period. The demand rate is assumed to be a function of inflation and the demand increase due to inflation. The objective is to determine the optimal production uptime that minimizes the present value of expected total costs per unit time consisting of ...

This work presents a novel interactive possibilistic linear programming (PLP) approach for solving the multiproduct aggregate production planning (APP) problem with imprecise forecast demand, related operating costs, and capacity. The proposed approach attempts to minimize total costs with reference to inventory levels, labor levels, overtime, subcontracting and backordering levels, and labor, ...

During decoding, the Statistical Machine Translation (SMT) decoder travels over all complete paths on the Search Graph (SG), seeks those with cheapest costs and backtracks to read off the best translations. Although these winners beat the rest in model scores, there is no certain guarantee that they have the highest quality with respect to the human references. This paper exploits Word Confiden...