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公开(公告)号：US20120158636A1
公开(公告)日：2012-06-21
申请号：US12968289
申请日：2010-12-15
申请人： Stuart M. Bowers , Thomas E. Jackson , Silvia C. Vega , Chris D. Karkanias , Allen L. Brown, JR. , David G. Campbell , Brian S. Aust
发明人： Stuart M. Bowers , Thomas E. Jackson , Silvia C. Vega , Chris D. Karkanias , Allen L. Brown, JR. , David G. Campbell , Brian S. Aust
IPC分类号： G06N5/02
摘要： A semantic reasoning engine is described for performing probabilistic reasoning over a semantic graph in a time-efficient and viable manner. The semantic reasoning engine includes a data store that provides the semantic graph, where the semantic graph is formed by a plurality of concepts connected together via probabilistic assertions. The semantic reasoning engine operates by providing an answer to a query by recursively collapsing the semantic graph based on at least one collapsing rule.
摘要翻译： 描述了一种语义推理引擎，用于以时间有效且可行的方式在语义图上执行概率推理。 语义推理引擎包括提供语义图的数据存储，其中语义图由通过概率断言连接在一起的多个概念形成。 语义推理引擎通过基于至少一个折叠规则递归地折叠语义图来提供对查询的答案来操作。
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公开(公告)号：US08751433B2
公开(公告)日：2014-06-10
申请号：US12968289
申请日：2010-12-15
申请人： Stuart M. Bowers , Thomas E. Jackson , Silvia C. Vega , Chris D. Karkanias , Allen L. Brown, Jr. , David G. Campbell , Brian S. Aust
发明人： Stuart M. Bowers , Thomas E. Jackson , Silvia C. Vega , Chris D. Karkanias , Allen L. Brown, Jr. , David G. Campbell , Brian S. Aust
IPC分类号： G06N5/02
摘要： A semantic reasoning engine is described for performing probabilistic reasoning over a semantic graph in a time-efficient and viable manner. The semantic reasoning engine includes a data store that provides the semantic graph, where the semantic graph is formed by a plurality of concepts connected together via probabilistic assertions. The semantic reasoning engine operates by providing an answer to a query by recursively collapsing the semantic graph based on at least one collapsing rule.
摘要翻译： 描述了一种语义推理引擎，用于以时间有效且可行的方式在语义图上执行概率推理。 语义推理引擎包括提供语义图的数据存储，其中语义图由通过概率断言连接在一起的多个概念形成。 语义推理引擎通过基于至少一个折叠规则递归地折叠语义图来提供对查询的答案来操作。
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公开(公告)号：US07894650B2
公开(公告)日：2011-02-22
申请号：US11599184
申请日：2006-11-13
申请人： Lee Weng , Andrey Bondarenko , Silvia C. Vega , Ernst S. Henle , Brandon Hunt , Alexander Spiridonov
发明人： Lee Weng , Andrey Bondarenko , Silvia C. Vega , Ernst S. Henle , Brandon Hunt , Alexander Spiridonov
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G01N30/8624 , G01N30/8644 , G01N30/8675 , G01N30/8679 , G06K9/0014 , G06K9/46 , G06K9/6203 , G06T7/41 , G06T2207/20212 , G06T2207/30004 , Y10T436/24
摘要： An image processing system extracts parts or characteristics of interest from prepared biological samples One suitable use of the image processing system is to find biomarkers. But many other suitable uses are possible. Some components of the system include image preprocessing (data interpolation, retention time alignment, image noise filtering, background estimation, and formation of a composite image); image feature extraction (peaks, isotope groups, and charge groups); and computation of feature characteristics and expression statistics, differential expression, and non-differential expression. Outputs of the system include a candidate list of parts or characteristic of interest for aiding further discovery.
摘要翻译： 图像处理系统从制备的生物样品中提取感兴趣的部分或特征图像处理系统的一个合适的用途是找到生物标志物。 但是许多其他合适的用途是可能的。 系统的一些组件包括图像预处理（数据插值，保留时间对齐，图像噪声滤波，背景估计和合成图像的形成）; 图像特征提取（峰，同位素组和电荷组）; 特征特征和表达统计，微分表达和非差分表达的计算。 系统的输出包括用于辅助进一步发现的部分或特征的候选列表。
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公开(公告)号：US08275185B2
公开(公告)日：2012-09-25
申请号：US13005999
申请日：2011-01-13
申请人： Lee Weng , Andrey Bondarenko , Silvia C. Vega , Ernst S. Henle , Brandon T. Hunt , Alexander Spiridonov
发明人： Lee Weng , Andrey Bondarenko , Silvia C. Vega , Ernst S. Henle , Brandon T. Hunt , Alexander Spiridonov
CPC分类号： G06T7/0012 , G01N30/8624 , G01N30/8644 , G01N30/8675 , G01N30/8679 , G06K9/0014 , G06K9/46 , G06K9/6203 , G06T7/41 , G06T2207/20212 , G06T2207/30004 , Y10T436/24
摘要： An image processing system extracts parts or characteristics of interest from prepared biological samples One suitable use of the image processing system is to find biomarkers. But many other suitable uses are possible. Some components of the system include image preprocessing (data interpolation, retention time alignment, image noise filtering, background estimation, and formation of a composite image); image feature extraction (peaks, isotope groups, and charge groups); and computation of feature characteristics and expression statistics, differential expression, and non-differential expression. Outputs of the system include a candidate list of parts or characteristic of interest for aiding further discovery.
摘要翻译： 图像处理系统从制备的生物样品中提取感兴趣的部分或特征图像处理系统的一个合适的用途是找到生物标志物。 但是许多其他合适的用途是可能的。 系统的一些组件包括图像预处理（数据插值，保留时间对齐，图像噪声滤波，背景估计和合成图像的形成）; 图像特征提取（峰，同位素组和电荷组）; 特征特征和表达统计，微分表达和非差分表达的计算。 系统的输出包括用于辅助进一步发现的部分或特征的候选列表。
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公开(公告)号：US20110110569A1
公开(公告)日：2011-05-12
申请号：US13005999
申请日：2011-01-13
申请人： Lee Weng , Andrey Bondarenko , Silvia C. Vega , Ernst S. Henle , Brandon T. Hunt , Alexander Spiridonov
发明人： Lee Weng , Andrey Bondarenko , Silvia C. Vega , Ernst S. Henle , Brandon T. Hunt , Alexander Spiridonov
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G01N30/8624 , G01N30/8644 , G01N30/8675 , G01N30/8679 , G06K9/0014 , G06K9/46 , G06K9/6203 , G06T7/41 , G06T2207/20212 , G06T2207/30004 , Y10T436/24
摘要： An image processing system extracts parts or characteristics of interest from prepared biological samples One suitable use of the image processing system is to find biomarkers. But many other suitable uses are possible. Some components of the system include image preprocessing (data interpolation, retention time alignment, image noise filtering, background estimation, and formation of a composite image); image feature extraction (peaks, isotope groups, and charge groups); and computation of feature characteristics and expression statistics, differential expression, and non-differential expression. Outputs of the system include a candidate list of parts or characteristic of interest for aiding further discovery.
摘要翻译： 图像处理系统从制备的生物样品中提取感兴趣的部分或特征图像处理系统的一个合适的用途是找到生物标志物。 但是许多其他合适的用途是可能的。 系统的一些组件包括图像预处理（数据插值，保留时间对齐，图像噪声滤波，背景估计和合成图像的形成）; 图像特征提取（峰，同位素组和电荷组）; 特征特征和表达统计，微分表达和非差分表达的计算。 系统的输出包括用于辅助进一步发现的部分或特征的候选列表。
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