نتایج جستجو برای: multi attribute auction

تعداد نتایج: 535044  

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه یزد 1388

hedging is a multi-purpose rhetorical strategy which is usually used in scientific arguments to secure ratification of claims, reduce the risk of negation, avoid conflict, manage disagreement and leave room for the audience to assess presented information. hedges are frequently used in research articles to mitigate the findings of research endeavors. the present research aims to investigate the...

2016
Brian Baisa Dirk Bergemann Martin Bichler Justin Burkett Johannes Hörner Jun Ishii

I study efficient multi-unit auction design when bidders have private values, multiunit demands, and non-quasilinear preferences. Without quasilinearity, the Vickrey auction loses its desired incentive and efficiency properties. Instead of assuming that bidders have quasilinear preferences, I assume that bidders have positive wealth effects. This nests cases where bidders are risk averse, face ...

Journal: :JIP 2013
Naoki Fukuta

A multi-unit combinatorial auction is a combinatorial auction that has some items that can be seen as indistinguishable. Although the mechanism can be applied to dynamic electricity auctions and various purposes, it is difficult to apply to large-scale auction problems due to its computational intractability. In this paper, I present an idea and an analysis about an approximate allocation and p...

2005
Susan Athey Philip A. Haile

This chapter discusses structural econometric approaches to auctions. Remarkably, much of what can be learned from auction data can be learned without restrictions beyond those derived from the relevant economic model. This enables us to take a nonparametric perspective in discussing how the structure of auction models can be combined with observables to uncover (or test hypotheses about) primi...

2015
Kave Eshghi Mark Lillibridge Deepavali Bhagwat Mark Watkins

 Improving Multi-Node Deduplication Performance for Interleaved Data via Sticky-Auction Routing Kave Eshghi, Mark Lillibridge, Deepavali Bhagwat, Mark Watkins

Journal: :Computational Intelligence 2002

Journal: :Transactions of the Japanese Society for Artificial Intelligence 2002

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