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1. 发明公开

EP4413497A1 POWER GRAPH CONVOLUTIONAL NETWORK FOR EXPLAINABLE MACHINE LEARNING 审中-实审
公开(公告)号：EP4413497A1
公开(公告)日：2024-08-14
申请号：EP21801810.9
申请日：2021-10-07
申请人： Equifax, Inc.
发明人： DU PREEZ, Warren , HUANG, Bowen
IPC分类号： G06N3/04 , G06N5/04
CPC分类号： G06N5/045 , G06N3/048 , G06N3/0464

2. 发明公开

EP4352661A1 AUTOMATIC XAI (AUTOXAI) WITH EVOLUTIONARY NAS TECHNIQUES AND MODEL DISCOVERY AND REFINEMENT 审中-实审
公开(公告)号：EP4352661A1
公开(公告)日：2024-04-17
申请号：EP22735358.8
申请日：2022-06-09
申请人： Umnai Limited
发明人： DALLI, Angelo , D'AMATO, Kristian , PIRRONE, Mauro
IPC分类号： G06N3/12 , G06N3/00 , G06N3/04 , G06N3/08 , G06N5/02 , G06N5/04 , G06N7/00
CPC分类号： G06N3/084 , G06N3/049 , G06N5/045 , G06N3/006 , G06N3/126 , G06N7/01 , G06N3/045 , G06N5/025

3. 发明公开

EP3418951A1 METHOD FOR DATA PROCESSING AND RELATED PRODUCTS 审中-公开
公开(公告)号：EP3418951A1
公开(公告)日：2018-12-26
申请号：EP18176760.9
申请日：2018-06-08
申请人： Guangdong Oppo Mobile Telecommunications Corp., Ltd
发明人： BAI, Jian
IPC分类号： G06N99/00 , G06N5/04
CPC分类号： G06N99/005 , G06N5/045
摘要： A method for data processing and related products are provided. A terminal device includes at least one processor and a computer readable storage coupled to the at least one processor. The computer readable storage stores at least one computer executable instruction thereon, which when executed by the at least one processor, cause the at least one processor to carry out actions, including: acquiring first user-habit data; determining a similarity value based on the first user-habit data and standard user-habit data; extracting, from the first user-habit data, normal user-habit data in response to the determination that the similarity value is smaller than a first threshold similarity value; updating the standard user-habit data according to the normal user-habit data.

4. 发明公开

EP3403220A1 LOCALIZED TEMPORAL MODEL FORECASTING 审中-实审
公开(公告)号：EP3403220A1
公开(公告)日：2018-11-21
申请号：EP17738979.8
申请日：2017-01-12
申请人： Uptake Technologies, Inc.
发明人： HERZOG, James
IPC分类号： G06N5/04 , G06N99/00
CPC分类号： G06N5/04 , G06N5/045 , G06N99/005
摘要： Disclosed herein are systems, computer-readable media, and methods related to modeling on multivariate time series data overlaid with event data. In particular, some examples involve selecting one or more historical time series data arrays similar to a recent time series data array and filtering the similar historical time series data arrays based on event data. Some examples can also involve training a localized temporal forecasting model using the filtered historical time series data arrays. Some examples can include building and/or training the localized temporal forecasting model at or near a time that a forecast is needed.

5. 发明公开

EP3361853A1 FORESTRY INFORMATION MANAGEMENT SYSTEMS AND METHODS STREAMLINED BY AUTOMATIC BIOMETRIC DATA PRIORITIZATION 无效
公开(公告)号：EP3361853A1
公开(公告)日：2018-08-22
申请号：EP16856131.4
申请日：2016-10-12
申请人： Drone Seed Co.
发明人： PROUTY, Jeff , ULLYOTT, Logan , CANARY, Grant
IPC分类号： A01B79/00 , G06K9/78
CPC分类号： G06K9/00657 , G06F17/30241 , G06F17/30268 , G06K9/00993 , G06N5/045
摘要： Methods and systems are presented for obtaining photographic data recently taken via one or more airborne vehicles (drones, e.g.) and for prioritizing forestry-related review and decision-making as an automatic response to the content of the photographic data even where remote decision-makers are only available via limited-bandwidth connections.

6. 发明公开

EP3227799A4 AUTO-ENCODER ENHANCED SELF-DIAGNOSTIC COMPONENTS FOR MODEL MONITORING 审中-公开
公开(公告)号：EP3227799A4
公开(公告)日：2018-05-09
申请号：EP15865799
申请日：2015-12-02
申请人： FAIR ISAAC CORP
发明人： ZHANG JUN , ZOLDI SCOTT MICHAEL
IPC分类号： G06Q30/02
CPC分类号： G06Q30/0201 , G06N3/0454 , G06N5/045
摘要： A diagnostic system for model governance is presented. The diagnostic system includes an auto-encoder to monitor model suitability for both supervised and unsupervised models. When applied to unsupervised models, the diagnostic system can provide a reliable indication on model degradation and recommendation on model rebuild. When applied to supervised models, the diagnostic system can determine the most appropriate model for the client based on a reconstruction error of a trained auto-encoder for each associated model. An auto-encoder can determine outliers among subpopulations of consumers, as well as support model go-live inspections.

7. 发明公开

EP3267369A1 DECISION TREE GENERATING APPARATUS, DECISION TREE GENERATING METHOD, NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM, AND INQUIRY SYSTEM 审中-公开
标题翻译：决策树生成装置，决策树生成方法，非暂态计算机可读记录介质和查询系统
公开(公告)号：EP3267369A1
公开(公告)日：2018-01-10
申请号：EP17176799.9
申请日：2017-06-20
申请人： Panasonic Intellectual Property Management Co., Ltd.
发明人： YAMAGAMI, Katsuyoshi , ENDO, Mitsuru
IPC分类号： G06N5/02 , G06N5/04 , G06Q30/02
CPC分类号： G06N5/045 , G06F17/30961 , G06N5/025 , G06N5/047 , G06N99/005 , G06Q30/02
摘要： A decision tree generating apparatus includes an information gain calculator and a decision tree generator. When a classification target data set including a plurality of pieces of classification target data respectively having different attributes with attribute values assigned thereto is segmented into subsets in a form of a decision tree, the information gain calculator calculates an amount of entropy reduction on each attribute, and calculates an information gain, based on the amount of reduction in the entropy and reliability of a user's answer responsive to an inquiry asking about the attribute. The decision tree generator successively determines an attribute having a maximum information gain to be a node of the decision tree by recursively iterating the segmentation of the pre-segmentation data set, and generates the decision tree that is to be used to determine an order of the inquiries.
摘要翻译：决策树生成装置包括信息增益计算器和决策树生成器。当包括分别具有与赋予其的属性值不同的属性的多个分类目标数据的分类目标数据集以决策树的形式被分割成子集时，信息增益计算器计算每个属性的熵降低量，并且基于响应于询问关于属性的询问的熵的减少量和用户的回答的可靠性来计算信息增益。决策树生成器通过递归地迭代预分割数据集的分割，连续地确定具有最大信息增益的属性作为决策树的节点，并且生成决策树，该决策树将被用于确定查询。

8. 发明公开

EP3230897A1 LEXICAL ANALYZER FOR A NEURO-LINGUISTIC BEHAVIOR RECOGNITION SYSTEM 审中-公开
标题翻译：用于神经语言行为识别系统的词汇分析器
公开(公告)号：EP3230897A1
公开(公告)日：2017-10-18
申请号：EP15867384.8
申请日：2015-12-10
申请人： Omni Ai, Inc.
发明人： XU, Gang , SEOW, Ming-Jung , YANG, Tao , COBB, Wesley Kenneth
IPC分类号： G06F17/27
CPC分类号： G06F17/2735 , G06F17/2775 , G06N5/045 , G06N99/005
摘要： Techniques are disclosed for building a dictionary of words from combinations of symbols generated based on input data. A neuro-linguistic behavior recognition system includes a neuro-linguistic module that generates a linguistic model that describes data input from a source (e.g., video data, SCADA data, etc.). To generate words for the linguistic model, a lexical analyzer component in the neuro-linguistic module receives a stream of symbols, each symbol generated based on an ordered stream of normalized vectors generated from input data. The lexical analyzer component determines words from combinations of the symbols based on a hierarchical learning model having one or more levels. Each level indicates a length of the words to be identified at that level. Statistics are evaluated for the words identified at each level. The lexical analyzer component identifies one or more of the words having statistical significance.
摘要翻译：公开了用于根据基于输入数据生成的符号组合来构建单词词典的技术。神经语言行为识别系统包括生成描述从源（例如，视频数据，SCADA数据等）输入的数据的语言模型的神经语言模块。为了为语言模型生成单词，神经语言模块中的词汇分析器组件接收符号流，每个符号基于从输入数据生成的规范化向量的有序流生成。词法分析器组件基于具有一个或多个级别的分层学习模型来从符号的组合中确定单词。每个级别表示在该级别要识别的单词的长度。对每个级别确定的词进行统计评估。词法分析器组件识别一个或多个具有统计显着性的单词。

9. 发明公开

EP3227799A2 AUTO-ENCODER ENHANCED SELF-DIAGNOSTIC COMPONENTS FOR MODEL MONITORING 审中-公开
标题翻译：自动编码器增强型自诊断组件，用于模型监测
公开(公告)号：EP3227799A2
公开(公告)日：2017-10-11
申请号：EP15865799.9
申请日：2015-12-02
申请人： Fair Isaac Corporation
发明人： ZHANG, Jun , ZOLDI, Scott Michael
IPC分类号： G06F17/30
CPC分类号： G06Q30/0201 , G06N3/0454 , G06N5/045
摘要： A diagnostic system for model governance is presented. The diagnostic system includes an auto-encoder to monitor model suitability for both supervised and unsupervised models. When applied to unsupervised models, the diagnostic system can provide a reliable indication on model degradation and recommendation on model rebuild. When applied to supervised models, the diagnostic system can determine the most appropriate model for the client based on a reconstruction error of a trained auto-encoder for each associated model. An auto-encoder can determine outliers among subpopulations of consumers, as well as support model go-live inspections.
摘要翻译：介绍了一种模型治理的诊断系统。诊断系统包括一个自动编码器，用于监控监督模型和无监督模型的模型适用性。当应用于无监督模型时，诊断系统可以提供模型退化的可靠指示和模型重建建议。当应用于监督模型时，诊断系统可以根据每个相关模型的训练过的自动编码器的重建误差，为客户确定最合适的模型。自动编码器可以确定消费者亚群之间的异常值，并支持模型上线检查。

10. 发明公开

EP3138033A4 METHOD AND APPARATUS FOR PERFORMING BLOCK RETRIEVAL ON BLOCK TO BE PROCESSED OF URINE SEDIMENT IMAGE 有权
标题翻译：方法和装置用于进行块上的萃取制造尿沉渣图像块
公开(公告)号：EP3138033A4
公开(公告)日：2017-05-17
申请号：EP15786785
申请日：2015-04-30
申请人： SIEMENS HEALTHCARE DIAGNOSTICS INC
发明人： SHEN TIAN , XU JUAN , ZHANG XIAOFAN
IPC分类号： G06F19/00 , G06K9/00 , G06K9/62
CPC分类号： G06N5/045 , G01N33/493 , G06F17/30961 , G06K9/6282 , G06N99/005
摘要： The inventive concepts herein relate to performing block retrieval on a block to be processed of a urine sediment image. The method comprises: using a plurality of decision trees to perform block retrieval on the block to be processed, wherein each of the plurality of decision trees comprises a judgment node and a leaf node, and the judgment node judges the block to be processed to make it reach the leaf node by using a block retrieval feature in a block retrieval feature set to form a block retrieval result at the leaf node, and at least two decision trees in the plurality of decision trees are different in structures thereof and/or judgments performed by the judgment nodes thereof by using the block retrieval feature; and integrating the block retrieval results of the plurality of decision trees so as to form a final block retrieval result.
摘要翻译：本发明的构思涉及一种块执行在存储块检索尿液沉渣图像进行处理。该方法包括：利用决策树的一个多元化的块执行块检索被处理，worin每个决策树的多个包括判断节点和叶节点，并将该判断节点判断该块被处理以使它通过在设置为形成在所述叶节点中的块的检索结果的块的检索的功能使用块的检索功能到达的叶节点，并且在判定树的多个至少两个判定树中进行的它们的结构和/或判决不同通过其通过使用块检索功能的判定节点; 和INTEGRA婷决策树的多个存储块检索的结果，以便形成最终的块的检索结果。

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