In this paper, we develop a multi-step prediction algorithm that is guaranteed to converge when using general function approximation. Besides, the new algorithm should satisfy the following requirements: First, it doe...
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This paper proposes a novel budget model based on differential game to deal with budget allocation in competitive search advertisements under a finite time horizon, with consideration of budget constraints. We extend ...
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This paper proposes a novel budget model based on differential game to deal with budget allocation in competitive search advertisements under a finite time horizon, with consideration of budget constraints. We extend the advertising response function with the dynamical advertising effort u and quality score q to fit search advertising scenarios. We also discuss Nash equilibriums of our model, and study some desirable properties of two kinds of equilibriums in the case with budget constraints: "budget-stable" open-loop Nash equilibrium (BS-OLNE) and "budget-unstable" open-loop Nash equilibrium (BUS-OLNE). We have evaluated our budget model and identified properties with computational experiments. Experimental results show that budget strategies with dynamical advertising elasticity are superior to those with fixed one and our findings on OLNEs are helpful for advertisers to make budget decisions.
Soccer robot system is a tremendously challenging intelligent system developed to mimic human soccer competition based on the multi discipline research: robotics, intelligentcontrol, computer vision, etc. robot path ...
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Soccer robot system is a tremendously challenging intelligent system developed to mimic human soccer competition based on the multi discipline research: robotics, intelligentcontrol, computer vision, etc. robot path planning strategy is a very important subject concerning to the performance and intelligence degree of the multi robot system. Therefore, this paper studies the path planning strategy of soccer system by using fuzzy logic. After setting up two fuzziers and two sorts of fuzzy rules for soccer system, fuzzy logic is applied to workspace partition and path revision. The experiment results show that this technique can well enhance the performance and intelligence degree of the system.
To find global frequent itemsets in a multiple, continuous, rapid and time-varying data stream, a fast, incremental, real-time, and little-memory-cost algorithm should be used. Based on the max-frequency window model,...
Recursive subspace identification methods have been an active area of research in recent years. In this paper, a recursive version of a closed-loop subspace method is proposed for on-line system modeling. The algorith...
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In the paper, the existing colony algorithm is improved for the routing computation of satellite networks with rapidly-changed network topology. A virtual topology strategy with new grouping is first proposed to deal ...
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ISBN:
(纸本)7302139229
In the paper, the existing colony algorithm is improved for the routing computation of satellite networks with rapidly-changed network topology. A virtual topology strategy with new grouping is first proposed to deal with the problem of the rapidly-changed network topology, and then the improved ant colony algorithm is applied in routing optimization of satellite networks. Finally, the good performance of the improved algorithm is illustrated by simulations.
News Topics are related to a set of keywords or keyphrases1. Topic keyphrases briefly describe the key content of topics and help users decide whether to do further reading about them. Moreover, keyphrases of a news t...
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This paper discusses the problems of control design and stability analysis of the networked controlsystems(NCSs) with random delays. The network-induced delays of the NCS are considered as interval variables governed...
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The concern about national security has increased significantly since the 9/11 attacks. However, information overload and lack of advanced, automated techniques hinders the effective analysis of criminal and terrorist...
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Deep multimodal fusion by using multiple sources of data for classification or regression has exhibited a clear advantage over the unimodal counterpart on various applications. Yet, current methods including aggregati...
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