...感器网络；信任模型；稀疏网络；beta分布；妥协性 [gap=1132]Key words:wireless sensor networks;trust model;sparse networks;beta distribution;compromise ...
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在一个稀疏分布式网络中，记忆是感知的一种。
In a sparse distributed network, memory is a type of perception.
主题主要有聚类，稀疏编码，局限玻尔兹曼机和深度信念网络。
Topics include clustering, sparse coding, autoencoders, restricted Boltzmann machines, and deep belief networks.
数据的稀疏性意味着社会网络并不总是可用，在这种情况下提出一种解决方案，很好地利用了社会网络的有效信息。
Although the sparseness of the data may suggest that the social network is not always applicable, a solution to utilize the network in these cases is presented.
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