Multi-Domain learning assumes that a single metadata attribute is used in order to divide the data into so-called domains. However, real-world datasets often have multiple metadata attributes that can divide the data into domains. It is not always apparent which single attribute will lead to the best domains, and more than one attribute might impact classification. We propose extensions to two ...

Survivability is the ability of a system to minimize the impact of a finite-duration disturbance on value delivery (i.e., stakeholder benefit at cost), achieved through (1) the reduction of the likelihood or magnitude of a disturbance, (2) the satisfaction of a minimally acceptable level of value delivery during and after a disturbance, and/or (3) a timely recovery. Traditionally specified as a...

We identify a new class of non-circular attribute grammars, called the multi-plan attribute grammars, for which static evaluation plans can be computed. The class of multi-plan attribute grammars is larger than all currently known classes of non-circular attribute grammars with static evaluation plans. The decision procedure and the procedure for computing evaluation plans take essentially poly...

Preferences for objects are commonly derived from ranked sets of properties or multiple attributes associated with these objects. There are several options or strategies to qualitatively derive a preference for one object over another from a property ranking. We introduce a modal logic, called multi-attribute preference logic, that provides a language for expressing such strategies. The logic p...

A descending clock auction (DCA) is a mechanism for buying items from multiple sellers. The auctioneer starts by offering bidders high prices and gradually decreases the prices while there is competition. The literature has focused on the vanilla case where each bidder has two options: to accept or reject the offered price. However, in many settings—such as the FCC’s imminent incentive auction—...

This paper highlights connections between the discrete and continuous approaches to optimal auction design with single and multi-dimensional types. We provide an interpretaion of an optimal auction design problem in terms of a linear program that is an instance of a parametric shortest path problem on a lattice. We also solve some cases explicitly in the discrete framework. JEL Classification: ...

during recent years, determining appropriate strategy in the supply chain has become an important strategic issue. however, the nature of these decisions usually is complex and unstructured. to determine the best supply chain strategy, many quantitative and qualitative attributes such as cost, responsiveness and flexibility can be taken into account. in order to approximate the human subjective...

Automated Multi-attribute Negotiation is an important and valuable mechanism in the Navy detailing system, in order to realize efficient, distributed and “Win-Win” matching. This report provides an extensive literature review of the existing research in Multiattribute Negotiations in the fields of Economics and Artificial Intelligence, discussing the motivation for multi-attribute negotiations,...

Best practice dictates that security requirements be based on risk assessments; however, simplistic risk assessments that result in lists of risks or sets of scenarios do not provide sufficient information to prioritize requirements when faced with resource constraints (e.g., time, money). Multi-attribute risk assessments provide a convenient framework for systematically developing quantitative...

Based on the theory of Restless Multi-Armed Bandit model, a novel mechanism of dynamic spectrum access was proposed for the problem that how to coordinate multi-user access multi-channel which were idle. Firstly, take care of the sensing error must be exist in the practical network, the Whittle index policy which can deal with sensing error effectively was derived, in this policy, the users ach...