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Feature selection method and equipment used for constructing HME (Hierarchical Mixtures of Expert) system

A feature selection and hybrid expert technology, applied in the feature selection field of HME system construction, can solve problems such as affecting modeling accuracy, and achieve the effect of alleviating inaccurate problems and inaccurate problems.

Inactive Publication Date: 2017-04-05
NEC CORP
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

However, there is a technical bottleneck in FAB / HME, that is, the features selected for HME are very sensitive to the initialization of the modeling process, and this will significantly affect the modeling accuracy, especially when the feature dimension is particularly high

Method used

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  • Feature selection method and equipment used for constructing HME (Hierarchical Mixtures of Expert) system
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  • Feature selection method and equipment used for constructing HME (Hierarchical Mixtures of Expert) system

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Embodiment Construction

[0028] Hereinafter, various exemplary embodiments of the present disclosure will be described in detail with reference to the accompanying drawings. It should be noted that these drawings and description relate to preferred embodiments as examples only. It should be noted that, from the ensuing description, alternative embodiments of the structures and methods disclosed herein are readily conceivable and may be employed without departing from the disclosed principles of the present disclosure as claimed.

[0029] It should be understood that these exemplary embodiments are given only to enable those skilled in the art to better understand and implement the present disclosure, but not to limit the scope of the present disclosure in any way. In addition, in the drawings, for the purpose of illustration, optional steps, modules, units, etc. are shown in dotted line boxes.

[0030] The terms "including", "comprising" and similar terms used herein should be understood as open-ende...

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Abstract

The invention relates to a feature selection method and equipment used for constructing a HME (Hierarchical Mixtures of Expert) system. The method can comprise the following steps of: executing characteristic analysis to features obtained through feature extraction carried out by aiming at a sample; and on the basis of the characteristic analysis, selecting features used for constructing the HME system. According to the invention, an improved method used for constructing the HME system is put forward, the features obtained through the feature extraction are subjected to characteristic analysis, and a feature space constructed by the HME system is restricted on the basis of a characteristic analysis result. The implementation way of the invention can be used for constructing the more accurate HME system.

Description

technical field [0001] The present disclosure relates to Hierarchical Hybrid Expert (HME) system technology, and more particularly to a method and device for feature selection for HME system construction. Background technique [0002] A mixed expert system (MoE) is a system composed of multiple expert networks and gate networks. Each expert network fits its own objective function on a subset of the input space, and the gate network is used to learn and determine the most suitable expert network for the current input or the suitability of the current input for each expert network. The mixture of individual expert networks can partition the space so that complexes of simple experts can solve problems that are complex for a single committee of experts. If the expert network in the mixed-expert system itself can be a mixed-expert system, then the nesting of the mixed-expert system is realized, and such a mixed-expert system is called a hierarchical hybrid transition system HME....

Claims

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Application Information

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IPC IPC(8): G06F17/18G06N7/00
Inventor 王虎刘春辰冯璐藤卷辽平
Owner NEC CORP
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