Model updating device and method, data processing device and method, program

A model update and model technology, applied in the field of data processing, can solve the problems of high cost of updating the model, the model is not suitable for the data set to be tested, and it takes a lot of time and manpower

Active Publication Date: 2015-06-10
FUJITSU LTD
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  • Abstract
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  • Application Information

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Problems solved by technology

However, in many cases, this assumption is not fully established, resulting in the model obtained based on the training data set is not suitable for the test data set, especially whe

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  • Model updating device and method, data processing device and method, program
  • Model updating device and method, data processing device and method, program
  • Model updating device and method, data processing device and method, program

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Embodiment Construction

[0022] Exemplary embodiments of the present invention will be described below with reference to the accompanying drawings. In the interest of clarity and conciseness, not all features of an actual implementation are described in this specification. It should be understood, however, that in developing any such practical embodiment, many implementation-specific decisions must be made in order to achieve the developer's specific goals, such as meeting those constraints related to the system and business, and those Restrictions may vary from implementation to implementation. Moreover, it should also be understood that development work, while potentially complex and time-consuming, would at least be a routine undertaking for those skilled in the art having the benefit of this disclosure.

[0023] Here, it should also be noted that, in order to avoid obscuring the present invention due to unnecessary details, only the device structure and / or processing steps closely related to the ...

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Abstract

The invention discloses a model updating device and method, a data processing device and method, for updating a target model in a multi-model system, wherein each model in the multi-model system is obtained by pre-training a training dataset in different ways. The model updating device comprises a pseudo label obtaining unit, a first feature distribution obtaining unit, a second feature distribution obtaining unit, an adjustment unit and an updating unit, wherein the pseudo label obtaining unit is used for using a calibration model to process a dataset to be tested and taking the processing result as a pseudo label; the first feature distribution obtaining unit is used for obtaining the feature distribution of the dataset to be tested on the basis of the pseudo label; the second feature distribution obtaining unit is used for obtaining the feature distribution of a training dataset based on a target model; the adjustment unit is used for adjusting the feature space subdivision of the target model according to the feature distribution of the training dataset and the feature distribution of the dataset to be tested, so that the training dataset and the dataset to be tested have similar distributions specific to the feature space subdivision; the updating unit is used for updating the target model by adopting the training dataset based on the adjusted feature space subdivision.

Description

technical field [0001] The present application relates to the field of data processing, in particular to a model updating device and a model updating method for updating a model in data processing, and a data processing device and a data processing method using the model updating device and model updating method. Background technique [0002] With the progress of society and the rapid development of information technology, how to efficiently process massive amounts of information has become particularly important. With the help of computer technology, various data processing methods, such as entity relationship extraction, object recognition, data mining, etc., have become common processing methods. These treatments are usually based on one or more models. For example, in entity relationship extraction, machine learning-based methods extract features from relationship samples, then train models on relationship samples, and use the trained model to identify entity relationsh...

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Application Information

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IPC IPC(8): G06F17/30
Inventor 夏迎炬孙健王云芝李中华
Owner FUJITSU LTD
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