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公开(公告)号：EP2422278A4
公开(公告)日：2012-11-07
申请号：EP10770287
申请日：2010-04-28
发明人： HODJAT BABAK , SHAHRZAD HORMOZ
CPC分类号： G06N3/086 , G06N3/12 , G06N3/126 , G06N99/005 , G06Q30/02
摘要： A server computer and a multitude of client computers form a network computing system that is scalable and adapted to continue to evaluate the performance characteristics of a number of genes generated using a software application running on the client computers. Each client computer continues to periodically receive data associated with the genes stored in its memory. Using this data, the client computers evaluate the performance characteristic of their genes by comparing a solution provided by the gene with the periodically received data associated with that gene. Accordingly, the performance characteristic of each gene may be updated and varied with each periodically received data. The performance characteristic of a gene defines its fitness. The genes may be virtual asset traders that recommend trading options, and the data associated with the genes may be historical trading data.
摘要翻译： 服务器计算机和多个客户端计算机形成网络计算系统，其可扩展并且适于继续评估使用在客户端计算机上运行的软件应用程序生成的许多基因的性能特征。 每个客户端计算机继续周期性地接收与存储在其存储器中的基因相关联的数据。 使用这些数据，客户端计算机通过将基因提供的解决方案与与该基因相关联的周期性接收的数据进行比较来评估其基因的性能特征。 因此，可以利用每个周期性接收的数据来更新和变化每个基因的性能特征。 基因的表现特征定义其适应性。 这些基因可能是推荐交易期权的虚拟资产交易者，与基因相关的数据可能是历史交易数据。
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公开(公告)号：EP3160586A1
公开(公告)日：2017-05-03
申请号：EP15732217.3
申请日：2015-06-25
CPC分类号： A61N5/1031 , A61N5/103 , A61N5/1048 , A61N2005/1032 , A61N2005/1074 , G06F19/00 , G06F19/325 , G06F19/34 , G06F19/3481 , G06N3/12
摘要： The present invention relates to a radiotherapy planning system (100) for determining a solution (101) corresponding to a fluence profile. The invention proposes to use a Pareto frontier navigator (140) to select the best plan from a set of various auto-planned solutions. An interactive graphical user interface (400) is provided to the planner to navigate among convex combinations of auto-planned solutions. This proposed Pareto plan navigation can be considered as a further optional refinement process, which can be applied to find the best plan in those cases where auto-generated solutions are not fully satisfying the planner's requirements. The navigation tool (400) moves locally through a set of auto-generated plans and can potentially simplify the planner's decision making process and reduce the whole planning time on complex clinical cases from several hours to minutes.
摘要翻译： 本发明涉及一种用于确定对应于注量分布的解（101）的放射治疗计划系统（100）。 本发明提出使用帕累托边界导航器（140）来从一组各种自动计划的解决方案中选择最佳计划。 交互式图形用户界面（400）被提供给计划者以在自动计划的解决方案的凸面组合之间进行导航。 这个建议的帕雷托计划导航可以被看作是进一步的可选的细化过程，可以应用这个过程来找到自动生成的解决方案不能完全满足规划人员要求的情况下的最佳方案。 导航工具（400）通过一组自动生成的计划在本地移动，并且可以简化计划者的决策制定过程并将复杂临床病例的整个计划时间从几小时减少到几分钟。
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公开(公告)号：EP2422278A1
公开(公告)日：2012-02-29
申请号：EP10770287.0
申请日：2010-04-28
发明人： HODJAT, Babak , SHAHRZAD, Hormoz
IPC分类号： G06F15/18
CPC分类号： G06N3/086 , G06N3/12 , G06N3/126 , G06N99/005 , G06Q30/02
摘要： A server computer and a multitude of client computers form a network computing system that is scalable and adapted to continue to evaluate the performance characteristics of a number of genes generated using a software application running on the client computers. Each client computer continues to periodically receive data associated with the genes stored in its memory. Using this data, the client computers evaluate the performance characteristic of their genes by comparing a solution provided by the gene with the periodically received data associated with that gene. Accordingly, the performance characteristic of each gene may be updated and varied with each periodically received data. The performance characteristic of a gene defines its fitness. The genes may be virtual asset traders that recommend trading options, and the data associated with the genes may be historical trading data.
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公开(公告)号：EP3274475A1
公开(公告)日：2018-01-31
申请号：EP16769805.9
申请日：2016-03-25
发明人： ELZINGA, Christopher
CPC分类号： C12Q1/6869 , C12Q1/6886 , C12Q2535/122 , C12Q2600/156 , G06F19/22 , G06N3/12 , G06N5/04
摘要： Provided are systems and methods for analyzing genetic sequence data from next generation sequence (NGS) platforms. Also provided are methods for the preparation of samples for nucleic acid sequence analysis by NGS. Variant calling is performed with a modified GATK variant caller. Mapping the reads to a genomic reference sequence is performed with a Burrows Wheeler Aligner (BWA) and does not comprise soft clipping. The genomic reference sequence is GRCh37.1 human genome reference. The sequencing method comprises emulsion PCR (emPCR), rolling circle amplification, or solid-phase amplification. In some embodiments, the solid-phase amplification is clonal bridge amplification.
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5.发明公开
公开(公告)号：EP3007111A1
公开(公告)日：2016-04-13
申请号：EP14188417.1
申请日：2014-10-10
IPC分类号： G06N3/12
摘要： A method for the optimization of the design and / or operation of a computer system is disclosed. According to the invention the method constructs an initial set (40) of solutions as input to an iterative optimization procedure by evaluating a preliminary set (13) of solutions according to at least one selection criterion (14). From this evaluation, a first subset (17), which contains solutions which satisfy the at least one selection criterion (14) to a degree better than a predefined first threshold (23, 25), results. The method then identifies common features of the solutions in the first subset (17). From these common features deployment rules (19) are derived, which constrain the solutions selected for the initial set (40), and which optionally also constrain the modifications of solutions during the iterative procedure. The deployment rules (19) may be updated during the iterative procedure.
摘要翻译： 公开了一种用于优化计算机系统的设计和/或操作的方法。 根据本发明，该方法通过根据至少一个选择标准（14）评估解决方案的初步集合（13）来构建初始集合（40）作为迭代优化过程的输入。 从该评估中，产生包含满足至少一个选择准则（14）至多于预定义的第一阈值（23,25）的程度的解的第一子集（17）。 该方法然后识别第一子集（17）中的解的共同特征。 从这些共同特征中导出部署规则（19），其限制了为初始集合（40）选择的解，并且其可选地还限制迭代过程中的解的修改。 可以在迭代过程期间更新部署规则（19）。
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公开(公告)号：EP4439399A2
公开(公告)日：2024-10-02
申请号：EP24158298.0
申请日：2024-02-19
申请人： FUJITSU LIMITED
发明人： Chen, Wei-Peng , Hasegawa, Sou , Liu, Lei , Bahrami, Mehdi
IPC分类号： G06N3/12
CPC分类号： G06N3/12
摘要： According to an aspect of an embodiment, operations include receiving data comprising tabular datasets and code files. The operations further include generating a task specification corresponding to each dataset and determining data type information for features of each dataset. The operations further include extracting a plurality of API methods from the code files and generating an ML pipeline based on the data type information and the task specification. The operations further include obtaining variations of the ML pipeline based on options associated with at least one ML component and generating a database of pipelines based on the ML pipeline and the variations. The operations further include selecting candidate ML pipelines from the database based on an optimization approach and executing the candidate ML pipelines to evaluate a performance of each candidate pipeline on test data. The operations further include obtaining a training corpus of ML pipelines for pipeline recommendation.
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7.发明公开
公开(公告)号：EP3380946A1
公开(公告)日：2018-10-03
申请号：EP16869345.5
申请日：2016-11-25
IPC分类号： G06F15/16
CPC分类号： G06N5/04 , G06F17/30595 , G06F19/00 , G06N3/12 , H04L41/12 , Y04S40/164
摘要： A method of tracking information flows through multiple network systems includes selecting a primary network system from a population of primary and secondary network systems, wherein each of the primary and secondary network systems include network nodes, selecting first selected characteristic features that identify network nodes of the primary network system that provide interaction between the selected primary network system and secondary network systems, identifying at least one secondary network system that is capable of interacting with the network nodes of the primary network system, subdividing the primary network into subnetwork systems based on identifying primary network nodes that provide interaction between the primary network system and secondary network nodes, identifying the subnetwork systems that are capable of interacting with one or more network nodes of the secondary network systems, identifying a subnetwork node count of the primary network nodes in each subnetwork, identifying objects that are capable of interacting with the primary network nodes, and determining a coincidence frequency or a coincidence measurement between features of objects interacting with the primary network nodes and the features of the primary network nodes that indicate information exchanges between the primary and secondary network nodes.
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8.发明公开PREDICTION OF ESTROGEN RECEPTOR STATUS OF BREAST TUMORS USING BINARY PREDICTION TREE MODELING 审中-公开预测乳腺肿瘤雌激素受体状态使用二进制预测树模型
公开(公告)号：EP1567981A1
公开(公告)日：2005-08-31
申请号：EP02808139.6
申请日：2002-11-12
申请人： Duke University
发明人： WEST, Mike , NEVINS, Joseph
IPC分类号： G06N3/12
CPC分类号： G06N3/12
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公开(公告)号：EP3160586B1
公开(公告)日：2018-10-10
申请号：EP15732217.3
申请日：2015-06-25
CPC分类号： A61N5/1031 , A61N5/103 , A61N5/1048 , A61N2005/1032 , A61N2005/1074 , G06F19/00 , G06F19/325 , G06F19/34 , G06F19/3481 , G06N3/12
摘要： The present invention relates to a radiotherapy planning system (100) for determining a solution (101) corresponding to a fluence profile. The invention proposes to use a Pareto frontier navigator (140) to select the best plan from a set of various auto-planned solutions. An interactive graphical user interface (400) is provided to the planner to navigate among convex combinations of auto-planned solutions. This proposed Pareto plan navigation can be considered as a further optional refinement process, which can be applied to find the best plan in those cases where auto-generated solutions are not fully satisfying the planner's requirements. The navigation tool (400) moves locally through a set of auto-generated plans and can potentially simplify the planner's decision making process and reduce the whole planning time on complex clinical cases from several hours to minutes.
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公开(公告)号：EP3316184A4
公开(公告)日：2018-07-18
申请号：EP15896359
申请日：2015-06-25
申请人： FUJITSU LTD
发明人： NAGATO TSUYOSHI , KOEZUKA TETSUO
CPC分类号： G06N3/126 , G06F8/36 , G06F9/44 , G06K9/00993 , G06K9/6202 , G06K9/6229 , G06K9/6256 , G06N3/12 , G06T5/20 , G06T7/00
摘要： To perform appropriate survival selectin when generating an image processing program by using genetic programming. A processing unit (1b) selects an image processing program (21) from among a plurality of image processing programs (21, 22, 23, and so on) each generated by combining a plurality of partial programs; generates an image processing program (21a) by changing a part of the partial programs included in the image processing program (21); performs image processing on an input image (11), using the image processing program (21a); determines whether to pass the image processing program (21a) to the next generation, based on a comparison between one or more intermediate output images (31 and 32) that are output halfway through the image processing and a first target image (12); and replaces one of the image processing programs (21, 22, 23, and so on) with the image processing program (21a) when the image processing program (21a) is determined to be passed to the next generation.
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