JP2020112967A5 - - Google Patents
Download PDFInfo
- Publication number
- JP2020112967A5 JP2020112967A5 JP2019002436A JP2019002436A JP2020112967A5 JP 2020112967 A5 JP2020112967 A5 JP 2020112967A5 JP 2019002436 A JP2019002436 A JP 2019002436A JP 2019002436 A JP2019002436 A JP 2019002436A JP 2020112967 A5 JP2020112967 A5 JP 2020112967A5
- Authority
- JP
- Japan
- Prior art keywords
- perturbation
- data
- data set
- training data
- training
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Priority Applications (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2019002436A JP7073286B2 (ja) | 2019-01-10 | 2019-01-10 | データ生成装置、予測器学習装置、データ生成方法、及び学習方法 |
| CN201980078575.6A CN113168589B (zh) | 2019-01-10 | 2019-12-13 | 数据生成装置、预测器学习装置、数据生成方法和学习方法 |
| PCT/JP2019/049023 WO2020145039A1 (ja) | 2019-01-10 | 2019-12-13 | データ生成装置、予測器学習装置、データ生成方法、及び学習方法 |
| US17/414,705 US20220058485A1 (en) | 2019-01-10 | 2019-12-13 | Data Generation Device, Predictor Learning Device, Data Generation Method, and Learning Method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2019002436A JP7073286B2 (ja) | 2019-01-10 | 2019-01-10 | データ生成装置、予測器学習装置、データ生成方法、及び学習方法 |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2020112967A JP2020112967A (ja) | 2020-07-27 |
| JP2020112967A5 true JP2020112967A5 (enExample) | 2021-06-10 |
| JP7073286B2 JP7073286B2 (ja) | 2022-05-23 |
Family
ID=71521271
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2019002436A Active JP7073286B2 (ja) | 2019-01-10 | 2019-01-10 | データ生成装置、予測器学習装置、データ生成方法、及び学習方法 |
Country Status (4)
| Country | Link |
|---|---|
| US (1) | US20220058485A1 (enExample) |
| JP (1) | JP7073286B2 (enExample) |
| CN (1) | CN113168589B (enExample) |
| WO (1) | WO2020145039A1 (enExample) |
Families Citing this family (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20220108220A1 (en) * | 2020-10-02 | 2022-04-07 | Google Llc | Systems And Methods For Performing Automatic Label Smoothing Of Augmented Training Data |
| JP7561014B2 (ja) * | 2020-11-27 | 2024-10-03 | ロベルト・ボッシュ・ゲゼルシャフト・ミト・ベシュレンクテル・ハフツング | データ処理装置、ニューラルネットワークの深層学習の方法及びプログラム |
| JP7561013B2 (ja) * | 2020-11-27 | 2024-10-03 | ロベルト・ボッシュ・ゲゼルシャフト・ミト・ベシュレンクテル・ハフツング | データ処理装置、ニューラルネットワークの深層学習の方法及びプログラム |
| US11875270B2 (en) * | 2020-12-08 | 2024-01-16 | International Business Machines Corporation | Adversarial semi-supervised one-shot learning |
| JP7438932B2 (ja) * | 2020-12-25 | 2024-02-27 | 株式会社日立製作所 | 訓練データセット生成システム、訓練データセット生成方法、およびリペアリコメンドシステム |
| KR20220120052A (ko) * | 2021-02-22 | 2022-08-30 | 삼성전자주식회사 | 데이터를 생성하는 전자 장치 및 그 동작 방법 |
| US12121382B2 (en) * | 2022-03-09 | 2024-10-22 | GE Precision Healthcare LLC | X-ray tomosynthesis system providing neural-net guided resolution enhancement and thinner slice generation |
| CN114896024B (zh) * | 2022-03-28 | 2022-11-22 | 同方威视技术股份有限公司 | 基于核密度估计的虚拟机运行状态检测方法和装置 |
| WO2025238808A1 (ja) * | 2024-05-16 | 2025-11-20 | 株式会社日立ハイテク | 情報処理装置、および情報処理方法 |
Family Cites Families (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009181508A (ja) * | 2008-01-31 | 2009-08-13 | Sharp Corp | 画像処理装置、検査システム、画像処理方法、画像処理プログラム、及び該プログラムを記録したコンピュータ読み取り可能な記録媒体 |
| JP6234060B2 (ja) * | 2013-05-09 | 2017-11-22 | インターナショナル・ビジネス・マシーンズ・コーポレーションInternational Business Machines Corporation | ターゲットドメインの学習用音声データの生成方法、生成装置、および生成プログラム |
| US20170337682A1 (en) * | 2016-05-18 | 2017-11-23 | Siemens Healthcare Gmbh | Method and System for Image Registration Using an Intelligent Artificial Agent |
| EP3637272A4 (en) * | 2017-06-26 | 2020-09-02 | Shanghai Cambricon Information Technology Co., Ltd | DATA-SHARING SYSTEM AND RELATED DATA-SHARING PROCESS |
| CN111052173B (zh) * | 2017-07-31 | 2023-08-22 | 巴斯德研究所 | 用于改进从单分子定位显微术获取的衍射受限图像重构密集超分辨率图像的方法、设备和计算机程序 |
| US20200193223A1 (en) * | 2018-12-13 | 2020-06-18 | Diveplane Corporation | Synthetic Data Generation in Computer-Based Reasoning Systems |
| CN108197700A (zh) * | 2018-01-12 | 2018-06-22 | 广州视声智能科技有限公司 | 一种生成式对抗网络建模方法及装置 |
| CN110554602B (zh) * | 2018-05-30 | 2024-10-01 | 罗伯特·博世有限公司 | 生成鲁棒的自动化学习系统并测试经训练自动化学习系统 |
| US20200065664A1 (en) * | 2018-08-22 | 2020-02-27 | Fujitsu Limited | System and method of measuring the robustness of a deep neural network |
| US20200134494A1 (en) * | 2018-10-26 | 2020-04-30 | Uatc, Llc | Systems and Methods for Generating Artificial Scenarios for an Autonomous Vehicle |
| US11610098B2 (en) * | 2018-12-27 | 2023-03-21 | Paypal, Inc. | Data augmentation in transaction classification using a neural network |
-
2019
- 2019-01-10 JP JP2019002436A patent/JP7073286B2/ja active Active
- 2019-12-13 US US17/414,705 patent/US20220058485A1/en not_active Abandoned
- 2019-12-13 WO PCT/JP2019/049023 patent/WO2020145039A1/ja not_active Ceased
- 2019-12-13 CN CN201980078575.6A patent/CN113168589B/zh active Active
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP2020112967A5 (enExample) | ||
| Lippe et al. | Pde-refiner: Achieving accurate long rollouts with neural pde solvers | |
| Bouhlel et al. | A Python surrogate modeling framework with derivatives | |
| JP6832678B2 (ja) | 新規物質探索方法および装置 | |
| JP5768834B2 (ja) | プラントモデル管理装置及び方法 | |
| Regis | Particle swarm with radial basis function surrogates for expensive black-box optimization | |
| Yang et al. | Parameter identification of the generalized Prandtl–Ishlinskii model for piezoelectric actuators using modified particle swarm optimization | |
| Dyvak et al. | Improving the computational implementation of the parametric identification method for interval discrete dynamic models | |
| Zhong et al. | Density-based evolutionary framework for crowd model calibration | |
| Shen et al. | A MATLAB toolbox for the efficient estimation of the psychometric function using the updated maximum-likelihood adaptive procedure | |
| WO2018074006A1 (ja) | シミュレーション装置、コンピュータプログラム及びシミュレーション方法 | |
| US10635078B2 (en) | Simulation system, simulation method, and simulation program | |
| Perzyk et al. | Comparison of data mining tools for significance analysis of process parameters in applications to process fault diagnosis | |
| Resseguier et al. | Quantifying truncation-related uncertainties in unsteady fluid dynamics reduced order models | |
| Franzelin et al. | Non-intrusive uncertainty quantification with sparse grids for multivariate peridynamic simulations | |
| JP7702279B2 (ja) | 評価装置、推論装置、評価方法、プログラム及び非一時的コンピュータ可読媒体 | |
| CN115310076A (zh) | 一种用于检测深度学习模型鲁棒性的组合式黑盒攻击方法 | |
| Iquebal et al. | Emulating the evolution of phase separating microstructures using low-dimensional tensor decomposition and nonlinear regression | |
| JP2021026291A (ja) | 学習装置、学習方法およびプログラム | |
| Wriggers et al. | Intelligent support of engineering analysis using ontology and case-based reasoning | |
| US10429811B2 (en) | Systems and methods for testing convergence of closed-loop control systems | |
| US10339463B2 (en) | Method and device for creating a function model for a control unit of an engine system | |
| Qi et al. | Calibrating use case points using bayesian analysis | |
| Ma et al. | High-risk prediction localization: evaluating the reliability of black box models for topology optimization | |
| Briol et al. | Rejoinder: Probabilistic integration: A role in statistical computation? |