Symmetric Nash equilibrium is a well-known refinement of Nash equilibrium in the study of bidding behavior of online advertisers on the sponsored search advertising marketplace. This solution concept, however, has maj...
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Symmetric Nash equilibrium is a well-known refinement of Nash equilibrium in the study of bidding behavior of online advertisers on the sponsored search advertising marketplace. This solution concept, however, has major limitations. It allows for over-bidding and has uncompelling upper bounds. In this paper, we propose a risk-free refinement of symmetric Nash equilibrium (RfSNE), to tackle these limitations. RfSNE can be determined by a bottom-up recursive algorithm. At an RfSNE, no advertiser is exposed to the risk of payoff loss caused by over-bidding. Managerially, RfSNE can be employed by search engines to help advertisers plan bidding strategy and the revenues realized on the set of RfSNEs can be used as a benchmark to evaluate alternative auction mechanisms.
The generalized second-price (GSP) mechanism is the dominant auction format used in online keyword auctions. From the viewpoint of mechanism design, however, the GSP mechanism is not optimal in the sense that it is no...
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The generalized second-price (GSP) mechanism is the dominant auction format used in online keyword auctions. From the viewpoint of mechanism design, however, the GSP mechanism is not optimal in the sense that it is not incentive compatible and does not result in revenue maximization. This raises important questions of significant practical relevance: How effective is the GSP mechanism? Do better auction mechanisms for keyword advertising exist? This paper aims to offer analytical insights to answer these questions partially. We consider the entire set of linear payment mechanisms and develop a new notion of weak revenue equivalence to compare these linear mechanisms. Our key result indicates that the GSP mechanism can achieve the best performance within the linear mechanism space and suggests that more complex non-linear mechanisms are needed if search engines want to further increase their revenue.
This paper presents an adaptive robust dynamic surface control (ARDSC) algorithm for the position control of DC torque motors which are modeled as third-order nonlinear systems with parametric and nonlinear uncertaint...
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Terrorism organizations are devising increasingly sophisticated plans to conduct attacks. The ability of emulating or constructing attack plans by potential terrorists can help us understand the intents and motivation...
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In this paper,an improved mean-square exponential stability condition and delayed-state-feedback controller for stochastic Markovian jump systems with mode-dependent time-varying state delays are obtained. First,by co...
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In this paper,an improved mean-square exponential stability condition and delayed-state-feedback controller for stochastic Markovian jump systems with mode-dependent time-varying state delays are obtained. First,by constructing a modified Lyapunov-Krasovskii functional,a mean-square exponential stability condition for the above systems is presented in terms of linear matrix inequalities (LMIs). Here,the decay rate can be a finite positive constant in a range and the derivative of time-varying delays is only required to have an upper bound which is not required to be less than 1. Then,based on the proposed stability condition,a delayed-state-feedback controller is designed. Finally,numerical examples are presented to illustrate the effectiveness of the theoretical results.
Open source intelligence is becoming more and more important in security-related applications. Effective extraction of valuable information from these intelligence sources so as to understand the content of intelligen...
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Cultural modeling aims at developing behavioral models of groups and analyzing the impact of culture factors on group behavior using computational methods. Machine learning methods in particular classification, play a...
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The paper presents a target tracking algorithm which is based on the mean shift algorithm and the normalized moment of inertia (NMI) feature, because the result of the moving target tracking in the air is not satisfac...
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Topic Detection and Tracking provides a flat and unorganized view of a document collection and cannot adequately reflect the content of the complete collection as some of the information is lost in the process. Topic ...
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ISBN:
(纸本)9781424471188
Topic Detection and Tracking provides a flat and unorganized view of a document collection and cannot adequately reflect the content of the complete collection as some of the information is lost in the process. Topic models account for more information and lead to a more organized view of the document collection. In this paper, we propose a more efficient model named Related Topic Network with a new term weighting method. Empirical evaluation using two real-world datasets consisting of 953 and 5,550 news documents demonstrates the utility of the proposed model and shows that the new term weighting method leads to performance improvement. copy;2010 IEEE.
A variable structure neural network adaptive robust control (VSNNARC) is proposed for a class of uncertain nonlinear SISO systems. A neural network which is adjusted by using nodes activation and passivation technique...
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