Titlebook: Neural Information Processing; 19th International C Tingwen Huang,Zhigang Zeng,Chi Sing Leung Conference proceedings 2012 Springer-Verlag B

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Motivating Retail Marketing Efforts under Fairness Concerns in Small-World Networks: A Multi-agent Sfairness and the channel structure which retailer access to information corresponds to the small-world network, and built a multi-agent model to mainly observe the impact of small-world network characteristics on the incentive effects. Experimental results show that the greater probability of replac

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A STPHD-Based Multi-sensor Fusion Methodan the general clustering algorithm such as k-means clustering. This paper presents a version of STPHD for multi-sensor scene and makes two contributions. First, we generalize the STPHD algorithm to a multi-sensor scenario with an existing framework of fusion. The framework includes an association s

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Learning Attentive Fusion of Multiple Bayesian Network Classifiers well as data in their structures and conditional probability tables. While structure learning and constructing the structure by hand according to an ensemble of domain-expert opinions are two common approaches to make a BN structure, finding an optimal structure to attain a high correct classificat

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Multiclass Penalized Likelihood Pattern Classification Algorithmlizing non-smooth solutions. Subsequently, this objective function is maximized, yielding a solution that achieves some sort of trade-off between the faithfulness and the smoothness of the fit..In this paper we extend the penalized likelihood classification that we proposed in earlier work to the mu