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We report performance evaluation of our automatic feature discovery method on the publicly available Gisette dataset: a set of 29 features discovered by our method ranks 129 among all 411 current entries on the validation set. Our approach is a greedy forward selection algorithm guided by error clusters. The algorithm finds error clusters in the current feature space, then projects one tight cluster...
In order to precisely procure the Chinese person information on the web, especially distinguish from the namesake, this paper propose a clustering algorithm based on latent semantic model. It establishes for every document a latent semantic model of sentence-word matrix based on central distance, central segment, document length, etc, by building the central word library of person attributes. It clusters...
We propose a feature selection method that constructs each new feature by analysis of tight error clusters. This is a greedy, time-efficient forward selection algorithm that iteratively constructs one feature at a time, until a desired error rate is reached. The algorithm finds error clusters in the current feature space, then projects one tight cluster into the null space of the feature mapping,...
With the aggravation of port economic competition, port enterprise managers pay special attention on port customer relationship management (CRM). Customer segmentation as a basis of CRM has important research meanings. In this paper, according to the characteristics of port customer data, a tree structure of data organization was obtained, reorganized the port data in 219 customer trees, introduced...
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