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We propose a new temporal data mining technique that can extract temporal interval relation rules from temporal interval data by using Allen's theory: a preprocessing algorithm designed for the generalization of temporal interval data and a temporal relation algorithm for mining temporal relation rules from the generalized temporal interval data.
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In this paper, a hybrid RBF-BP network architecture is designed for the output weight adjustment stage to further improve the generalization and classification performance.
In the final chapter, we investigate the basic models of the axiomatic mechanism design literature that present mechanisms that are generalizations of the mechanisms designed for the specific market design problems discussed before.
The parameter, B, was designed for a generalization purpose.
Moreover, the existing tools are primarily designed for generalization of topographic maps and do not address the needs specific to geology.
While the original version of SimAttack [9] was designed for a specific target, this paper presents a generalization of this attack for unlinkability and indistinguishability solutions.
A new generalization of the Borel transform improving the Duncan Pernice proposal, and designed for obtaining any non perturbative contributions is presented.
In the present paper, a generalization of the concept of discrete matrix delayed exponential is designed for two delays and its main property is proved as well.
This method is a direct generalization of PLS to arbitrary likelihoods, whereas the original PLS method (including that used by Nguyen and Rocke) is designed for Gaussian likelihoods only.
Such kind of parametric studies require many number of designed EBFs for the purpose of generalization, in fact, optimization of design is also necessary for the conservatism of results.
Claude, N. & Bengio, Y. Inference for the generalization error.
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CEO of Professional Science Editing for Scientists @ prosciediting.com