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RVM enables sparse classification and regression functions to be obtained by linearly-weighting a small number of fixed basis functions from a large dictionary of potential candidates.TOA on RVM has O(M3) time and O(M2) space complexity, where M is the training set size. It is thus computationally infeasible on very large data sets. We propose CBA . it decomposed large datasets to subdata blocks by...
Nowadays, it is universally accepted that the issue of energy shortage is increasingly serious. As a consequence, this modern-day crisis has greatly restricts the development of Chinese economy. This essay built an analytical model of tax policy of Chinese sustainable energy for the Chinese transportation. This model based on system dynamics, considered influences of many factors including energy...
Based on the analysis of value achievement of the Chinese aerospace enterprise, this paper expatiates the connotation and characteristics of facing the value achievement of the Chinese aerospace enterprise capability, and establishes the value target function of Chinese aerospace enterprise, and constructs ability system of Chinese aerospace enterprise, and constitutes the fuzzy evaluation model,...
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