権利抹消識別 (JP)

Import numbers

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Close

Save the numbers on the server

Rank	Score	AI predict score	Application	Publication	Examined/Granted
{{numberRank.rank}}	{{numberRank.score}}	{{numberRank.predict_score}}	{{numberRank.app_id}}	{{numberRank.pub_id}}	{{numberRank.exam_id}}

Search conditions

Save search condition

Email Alert

Set saved search conditions

{{ preCondition.lop }} {{preUserSearchSettings[preCondition.q][0]}} {{preUserSearchSettings[preCondition.q][1] ? '(' + preUserSearchSettings[preCondition.q][1] + ')' : ''}} {{preCondition.key}}

Delete All

Save search condition

Search conditions

Name {{userSearchSetting.title}}

Default

Email Alert

Disable Zero Alert

Period

Latest published

Latest granted

New Update

Load from the saved search conditions

Created at : {{userSearchSetting.created_at | strftime('YYYY-MM-DD')}}
N hits on last searched : {{userSearchSetting.last_searched_n_hits}}

Remove the saved search conditions

Save

{{query[1]}} Search | Delete

{{query[0]}}

Reset

More

Reset

More

Reset

More

N records
N clusters
N search words

# of cited

# of citing

Max # of connection

End edge only

Remove citation sources

Exclude same with

Include same with

Get Citation Type Cited/Citing Auto

Add filter conditions

Logical expression

Predict model

Select the work group :

Predict model (Pre) :

Manual Update

Label type

Binary class Multi class Multi label

Adjust score with AI prediction score

Targe features

Custom Labels

{{labelName.name}} {{countLabelName(labelName.name)}} {{labelName.weight ? labelName.weight : '1.0'}}

{{labelName.name}} {{countLabelName(labelName.name)}} {{labelName.weight ? labelName.weight : '1.0'}}

Supervised labels Prediction labels

Pupervised labels Prediction labels

Pupervised labels Prediction labels Parameter tuning

チューニングに使用するデータ教師データの一部予測データ

精度検証に使用する割合

チューニング対象特徴量

C : Cost

Sigma : Kernel parameter

Prefer label(binary)

最適パラメータ
精度: {{Math.floor((tuningBest.accuracy * 1000)) / 1000}} 対象特徴量: {{t.supervised_label_sets[tuningBest.features]}} C: {{tuningBest.c}} Sigma: {{tuningBest.sigma}} ２値優先ラベル: {{tuningBest.force_zero}}

精度: {{Math.floor((result.accuracy * 100)) / 100}} 対象特徴量: {{t.supervised_label_sets[result.features]}} C: {{result.c}} Sigma: {{result.sigma}} ２値優先ラベル: {{result.force_zero}}

この機能は現在、一般ユーザー非公開の試験機能です。サーバー負荷が高いため、今後、回数制限か有料オプション加入ユーザー限定となる見込みです。

Query type

Query Empty query Query must be less than 1000 characters Already exists Invalid number Too many supervised labels Too many prediction labels

Label

Pupervised labels Import from file Save supervised labels Edit supervised labels Save supervised labels CSV DL Delete All Parameter Settings Manual

Prediction labels Import from file Save prediction labels Edit prediction labels Save prediction labels CSV DL Delete All Parameter Settings Manual

C : Cost

Sigma : Kernel parameter

Prefer label(binary)

Automatically parameters tuning

Target of import

# of import

Import

Choose file / Drag & Drop

No supervised labels

{{trainPageStart+index+1}} App Pub Exam {{label.q}} {{label.q}} {{label.n ? label.n : ' '}} {{label}} {{label}} {{label.s.join(',')}} {{label.l}}

- Accuracy : {{Math.floor((trainAccuracy * 1000)) / 1000}} Precision : {{Math.floor((trainPrecision * 1000)) / 1000}} Recall : {{Math.floor((trainRecall * 1000)) / 1000}} F-measure : {{Math.floor((trainFMeasure * 1000)) / 1000}}

Choose file / Drag & Drop

No prediction labels

{{predictPageStart+index+1}} App Pub Exam {{label.q}} {{label.q}} {{label.n ? label.n : ' '}} {{Math.floor((label.ps * 1000)) / 1000}} {{Math.floor((label.ps * 1000)) / 1000}} {{label.pcs.join(',')}} {{label.pl}} {{label}} {{label}} {{label.s.join(',')}} {{label.l}}

Accuracy : {{Math.floor((accuracy * 1000)) / 1000}} ({{correct}} / {{total}}) Precision : {{Math.floor((precision * 1000)) / 1000}} Recall : {{Math.floor((recall * 1000)) / 1000}} F-measure : {{Math.floor((FMeasure * 1000)) / 1000}}

{{labelName.name}} : {{Math.floor((predictStats[labelName.name].correct / predictStats[labelName.name].total) * 1000) / 1000}} ({{predictStats[labelName.name].correct}} / {{predictStats[labelName.name].total}})

Custom Label filter

Custom Pre Label filter

Enable prediction with search results

Enable semantic score

# of predict labels

Data reference > 権利抹消識別 (JP)

コード	説明
0	本権利は抹消されていない
1	年金不納による抹消
12	登録後の権利抹消（その他）
15	付与後異議による抹消
2	存続期間満了による抹消
3	放棄による抹消
4	無効審判の確定による抹消
7	猶予の特許・登録料不納による抹消
99	出願から25年以上経過済で抹消フラグが不明のもの

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Supervised labels Prediction labels

Pupervised labels Prediction labels

Pupervised labels Prediction labels Parameter tuning

Pupervised labels Import from file Save supervised labels Edit supervised labels Save supervised labels CSV DL Delete All Parameter Settings Manual

Prediction labels Import from file Save prediction labels Edit prediction labels Save prediction labels CSV DL Delete All Parameter Settings Manual

権利抹消識別 (JP)

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