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A Survey on Real Time Bidding Advertising

A Survey on Real Time Bidding Advertising

引用

2014 IEEE International Conference on Service Operations and Logistics,and Informatics

作者： Yong Yuan Feiyue Wang Juanjuan Li Rui Qin The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences Qingdao Academy of Intelligent Industries Beijing Engineering Research Center of Intelligent Systems and Technology Institute of AutomationChinese Academy of Sciences

Real-time bidding(RTB)is an emerging and promising business model for online computational advertising in the age of big *** on analysis of massive amounts of Cookie data generated by Internet users,RTB advertising has the potential of identifying in real-time the characteristic and interest of the target audience in each ad impression,automatically delivering best-matched ads,and optimizing their prices via auction-based programmatic buying *** has significantly changed online advertising,evolving from the traditional pattern of"media buying"and"ad-slot buying"to"targetaudience buying",and is expected to be the standard business model for online advertising in the *** this paper,we discussed the current market practice of RTB advertising,presented the key roles and typical business processes in RTB markets,and summarized the current research progresses in the existing *** aim of this paper is to provide useful reference and guidance for future works.

关键词： real-time bidding computational advertising online advertising big data

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A Two-stage Fuzzy Budget Allocation Model in Search Auctions

A Two-stage Fuzzy Budget Allocation Model in Search Auctions

引用

2014 IEEE International Conference on Service Operations and Logistics,and Informatics

作者： Rui Qin Yong Yuan Juanjuan Li The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences Qingdao Academy of Intelligent Industries Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences

Budget optimization is an important issue faced by advertisers in search auctions,and has significant impact on the design of various advertising *** a limited budget on a search market during a certain period,an advertiser has to distribute her budget to a series of sequential temporal slots(i.e.,days,weeks,or months),during which advertisers must avoid the budget being used up quickly,so as to keep the budget for potential clicks with better performance in the *** the optimal budgets over these temporal slots as fuzzy variables,we establish a two-stage fuzzy budget allocation model,and use particle swarm optimization(PSO)algorithm to solve it in case when these optimal budgets are characterized by discrete fuzzy *** also conduct experiments to validate our model and *** experimental results show that our model can outperform other five budget allocation strategies in terms of reducing the revenue loss of the advertiser.

关键词： budget optimization budget allocation sponsored search auctions two-stage fuzzy programming PSO

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Direct Adaptive Output Feedback control for MIMO Uncertain Nonlinear Discrete-Time systems Based on Neural Networks

Direct Adaptive Output Feedback Control for MIMO Uncertain N...

引用

第三十二届中国控制会议

作者： YANG Xiong LIU Derong WANG Ding The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences

ISBN: (纸本)9781479900305

This paper develops a novel neural-network-based direct adaptive control scheme for a class of multi-input-multioutput uncertain nonlinear discrete-time(DT) systems in the presence of unknown bounded *** employing feedback linearization methods,neural network(NN) approximation can cancel the nonlinearity of the DT ***,the weights of NNs are directly updated online instead of preliminary offline *** addition,unlike most literatures,the condition for persistent excitation is *** on Lyapunov's direct method,both tracking errors and weight estimates are guaranteed to be uniformly ultimately bounded,while keeping the closed-loop system ***,an example is provided to demonstrate the effectiveness of the proposed approach.

关键词： Uncertain nonlinear system Output feedback Multi-input-multi-output Direct adaptive control Neural network

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A Learning Optimal control Scheme for Robust Stabilization of a Class of Uncertain Nonlinear systems

A Learning Optimal Control Scheme for Robust Stabilization o...

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第三十二届中国控制会议

作者： WANG Ding LIU Derong LI Hongliang YANG Xiong The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences

ISBN: (纸本)9781479900305

In this paper, a novel learning optimal control scheme is established to design the robust controller of a class of uncertain nonlinear systems. The robust control problem is transformed into the optimal control problem by properly choosing a cost function that reflects the uncertainty, regulation, and control. Then, the online policy iteration algorithm is presented to solve the Hamilton-Jacobi-Bellman （HJB） equation by introducing a critic neural network. The approximate expression of the optimal control policy can be derived directly. Moreover, the closed-loop system is proved to be uniformly ultimately bounded. The equivalence of the neural-network-based HJB solution of the optimal control problem and the solution of the robust control problem is developed as well. Finally, an example is provided to verify the effectiveness of the constructed approach.

关键词： Adaptive dynamic programming Neural networks Optimal control Robust control Uncertain nonlinear systems

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An Electronic Police System With Multiple Vehicle Parts Model

An Electronic Police System With Multiple Vehicle Parts Mode...

引用

IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)

作者： Tian, Bin Li, Ye Li, Bo Zhu, Fenghua Xiong, Gang The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences

ISBN: (纸本)9781479905300;9781479905294

With the development of urbanization, vehicle violations bring lots of problems for urban traffic. In this paper, we implement an electronic police system based on multiple salient vehicle parts for traffic surveillance. Vehicle is represented by its salient parts and its trajectory is obtained by tracking based on Kalman filter. First of all, multiple salient vehicle parts including the license plate and rear-lamps are localized using their distinctive features. Then vehicle tracking is performed using these parts with a Kalman filter to get vehicle motion trajectories. At last, traffic violations are detected by analyzing the vehicle trajectories and configuring various detection regions. Experiments show that our system is effective and it can achieve real-time performance for real traffic applications.

关键词： Vehicle detection tracking traffic incident detection

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Consensus tracking of general linear multi-agent systems: fast sliding-mode algorithms

Consensus tracking of general linear multi-agent systems: fa...

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第三十二届中国控制会议

作者： Liu Huiyang Cheng Long Tan Min Hou Zengguang Wang Yunpeng State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences

ISBN: (纸本)9781479900305

This paper solves distributed consensus tracking problems where the task is to make the multi-agent network, with each agent described by a general linear dynamics, to reach consensus with a leader whose control input is nonzero and not available to any followers. A set of sliding mode surfaces are defined and then fast sliding mode controllers are designed for both reduced order and non-reduced order cases. It is shown that all the trajectories exponentially converge to the sliding mode surfaces in a finite time if the leader has a directed path to at least one of the followers in a strongly connected and detailed balanced directed interaction graph and the leader’s control input is bounded. The control Lyapunov function for exponential finite time stability, motivated by the fast terminal sliding mode control, is used to prove the reachability of the sliding mode surfaces. Simulation examples are given to illustrate the theoretical results.

关键词： Multi-agent systems cooperative control fast terminal sliding mode consensus exponential finite-time

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A Stochastic Model for Budget Distribution over Time in Search Advertisements

A Stochastic Model for Budget Distribution over Time in Sear...

引用

2014 IEEE International Conference on Service Operations and Logistics,and Informatics

作者： Rui Qin Yong Yuan Juanjuan Li Yanwu Yang The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences Qingdao Academy of Intelligent Industries Beijing Engineering Research Center of Intelligent Systems and Technology Institute of AutomationChinese Academy of Sciences School of Management Huazhong University of Science and Technology

In search advertisements,advertisers have to seek for an effective allocation strategy to distribute the limited budget over a series of sequential temporal slots(e.g.,days).However,advertisers usually have no sufficient knowledge to determine the optimal budget for each temporal slot,because there exist much uncertainty in search advertising *** this paper,we present a stochastic model for budget distribution over a series of sequential temporal slots under a finite time horizon,assuming that the best budget is a random *** study some properties and feasible solutions for our model,taking the best budget being characterized by either normal distribution or uniform distribution,***,we also make some experiments to evaluate our model and identify strategies with the real-world data collected from practical advertising *** results show that a)our strategies outperform the baseline strategy that is commonly used in practice;b)the optimal budget is more likely to be normally distributed than uniformly distributed.

关键词： search advertisement budget distribution optimal budget stochastic programming budget constraint

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PI controller design for Network control system based on minimum entropy control

PI controller design for Network control system based on min...

引用

2014 IEEE International Conference on Service Operations and Logistics,and Informatics

作者： Xinlan-Guo Tao-Li Hongxia Zhao Mechanical and Electrical Engineering Department Nanjing Communications Institute of Technology Enterprise Custom Department Huawei Nanjing Institute The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences

This paper designs PI controller which is easy to operate in an actual random framework for NCS,for nonlinear ARMAX model is difficult to achieve in the practical *** on the nature of the network control system is a random system and PI controller design is easy to operate in an actual random framework for NCS,the iterative learning ideas to batch control system output probability density function,so that the output probability density function of the system with increasing batch tracking a given probability density *** order to achieve the NCS system of tracking error probability density function control,this paper introduces the minimum entropy control algorithm.

关键词： minimum entropy control NCS PI controller.

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Network Formation Games for the Link Selection of Cooperative Localization in Wireless Networks

Network Formation Games for the Link Selection of Cooperativ...

引用

IEEE International Conference on Communications

作者： Zijun Zhao Rongqing Zhang Xiang Cheng Liuqing Yang Bingli Jiao National Mobile Communications Research Laboratory Southeast University Nanjing China School of Electronics Engineering and Computer Science Peking University Beijing China The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China

Recently, localization has become an indispensable technique for wireless applications. In view of the limitation of global position system (GPS) in certain environments, alternative approaches are in demand. In this paper, we consider a cooperative localization approach named sum-product algorithm over a wireless network (SPAWN). Although SPAWN theoretically facilitates cooperative localization, it has several practical limitations. Specifically, SPAWN results in high computational complexity and increased network traffic. The main complexity of SPAWN lies in the selection of agents/anchors involved in the cooperative localization. To this end, we formulate the agent/anchor selection problem into a network formation game. Together with a practical limit on the number of agents/anchors used for cooperative localization, our proposed approach can markedly reduce the computational complexity and the resultant network traffic. Simulations show that these advantages come with a slight degradation in the localization mean squared error (MSE) performance.

关键词： Games Signal processing algorithms Wireless networks Computational complexity Nickel Signal processing

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A two-stage fuzzy budget allocation model in search auctions

A two-stage fuzzy budget allocation model in search auctions

引用

IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI

作者： Rui Qin Yong Yuan Juanjuan Li The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Qingdao Academy of Intelligent Industries Qingdao China Beijing Engineering Research Center of Intelligent Systems and Technology Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781479960590

Budget optimization is an important issue faced by advertisers in search auctions, and has significant impact on the design of various advertising strategies. Given a limited budget on a search market during a certain period, an advertiser has to distribute her budget to a series of sequential temporal slots (i.e., days, weeks, or months), during which advertisers must avoid the budget being used up quickly, so as to keep the budget for potential clicks with better performance in the future. Considering the optimal budgets over these temporal slots as fuzzy variables, we establish a two-stage fuzzy budget allocation model, and use particle swarm optimization (PSO) algorithm to solve it in case when these optimal budgets are characterized by discrete fuzzy variables. We also conduct experiments to validate our model and algorithm. The experimental results show that our model can outperform other five budget allocation strategies in terms of reducing the revenue loss of the advertiser.

关键词： Artificial intelligence

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