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Bayesian network is an uncertainty inference network based on probability. Its structure learning is one of the main research techniques in the field of data mining and knowledge discovering, while constructing Bayesian network structures from data is NP hard. According to the information theory and conditional independence test, a new algorithm is presented for the construction of optimal Bayesian...
We are interested in designing a data structure for n objects of dimension d, with the following objectives: Space requirements should be O(d middot n) and the query time should be O(d middot log(n)). Such a structure corresponds to subspace trees. A subspace tree divides the distances between the subspaces. It is realized by the hierarchical linear subspace method. By doing so, the data is divided...
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