Method and apparatus for training, classification model, mobile terminal, and readable storage medium
Provided are a method and apparatus for training a classification model, a mobile terminal, and a computer-readable storage medium. The method includes that: a classification model is trained based on a preset data set until the accuracy of the classification model reaches a standard value, wherein...
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| creator | Liu, Yaoyong |
| description | Provided are a method and apparatus for training a classification model, a mobile terminal, and a computer-readable storage medium. The method includes that: a classification model is trained based on a preset data set until the accuracy of the classification model reaches a standard value, wherein data in the preset data set includes label information; data in the preset data set is identified based on the trained classification model to acquire category information of the data; when the category information of the data is not matched with the label information, the data is cleaned to acquire a cleaned target data set; and the classification model is trained again based on the target data set. |
| format | Patent |
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The method includes that: a classification model is trained based on a preset data set until the accuracy of the classification model reaches a standard value, wherein data in the preset data set includes label information; data in the preset data set is identified based on the trained classification model to acquire category information of the data; when the category information of the data is not matched with the label information, the data is cleaned to acquire a cleaned target data set; and the classification model is trained again based on the target data set.</description><language>eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2021</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20211005&DB=EPODOC&CC=US&NR=11138478B2$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20211005&DB=EPODOC&CC=US&NR=11138478B2$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Liu, Yaoyong</creatorcontrib><title>Method and apparatus for training, classification model, mobile terminal, and readable storage medium</title><description>Provided are a method and apparatus for training a classification model, a mobile terminal, and a computer-readable storage medium. The method includes that: a classification model is trained based on a preset data set until the accuracy of the classification model reaches a standard value, wherein data in the preset data set includes label information; data in the preset data set is identified based on the trained classification model to acquire category information of the data; when the category information of the data is not matched with the label information, the data is cleaned to acquire a cleaned target data set; and the classification model is trained again based on the target data set.</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>HANDLING RECORD CARRIERS</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjLsKAjEQRdNYiPoPY78WcQW3VhQbK7VeZjeTdSAvktn_N4IfYHE5cDjcpaI7yTsawFCXEmaUuYCNGSQjBw5TA6PDUtjyiMIxgI-GXFMxsCMQyp4DVvG9yIQGh6qLxIwTgSfDs1-rhUVXaPPjSm2vl-f5tqMUeyoJRwok_euhtW67w7E77dt_mg8Evj8Y</recordid><startdate>20211005</startdate><enddate>20211005</enddate><creator>Liu, Yaoyong</creator><scope>EVB</scope></search><sort><creationdate>20211005</creationdate><title>Method and apparatus for training, classification model, mobile terminal, and readable storage medium</title><author>Liu, Yaoyong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US11138478B23</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2021</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>HANDLING RECORD CARRIERS</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><toplevel>online_resources</toplevel><creatorcontrib>Liu, Yaoyong</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Liu, Yaoyong</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Method and apparatus for training, classification model, mobile terminal, and readable storage medium</title><date>2021-10-05</date><risdate>2021</risdate><abstract>Provided are a method and apparatus for training a classification model, a mobile terminal, and a computer-readable storage medium. The method includes that: a classification model is trained based on a preset data set until the accuracy of the classification model reaches a standard value, wherein data in the preset data set includes label information; data in the preset data set is identified based on the trained classification model to acquire category information of the data; when the category information of the data is not matched with the label information, the data is cleaned to acquire a cleaned target data set; and the classification model is trained again based on the target data set.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
| title | Method and apparatus for training, classification model, mobile terminal, and readable storage medium |
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