Enhancing query performance of search engines using lexical affinities
    12.
    发明申请
    Enhancing query performance of search engines using lexical affinities 失效
    使用词汇亲和力提高搜索引擎的查询性能

    公开(公告)号:US20060259482A1

    公开(公告)日:2006-11-16

    申请号:US11335760

    申请日:2006-01-18

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30622 G06F17/30864

    摘要: Provided are techniques for computer-based electronic Information Retrieval (IR). An extended inverted index structure by generating one or more lexical affinities (LA), wherein each of the one or more lexical affinities comprises two or more search items found in proximity in one or more documents in a pool of documents, and generating a posting list for each of the one or more lexical affinities, wherein each posting list is associated with a specific lexical affinity and contains document identifying information for each of the one or more documents in the pool that contains the specific lexical affinity and a location within the document where the specific lexical affinity occurs.

    摘要翻译: 提供了基于计算机的电子信息检索(IR)技术。 一种通过生成一个或多个词汇亲和度(LA)的扩展的反向索引结构,其中所述一个或多个词法亲和度中的每一个包括在文档库中的一个或多个文档中邻近发现的两个或多个搜索项,并且生成发布列表 对于一个或多个词汇亲和力中的每一个,其中每个发布列表与特定词汇亲和度相关联,并且包含用于池中的一个或多个文档中的每个文档的文档标识信息,该文档包含特定的词汇亲和度以及文档中的位置 具体的词汇亲和力发生。

    Method of generating a distributed text index for parallel query processing
    13.
    发明申请
    Method of generating a distributed text index for parallel query processing 有权
    生成用于并行查询处理的分布式文本索引的方法

    公开(公告)号:US20050010560A1

    公开(公告)日:2005-01-13

    申请号:US10805402

    申请日:2004-03-19

    IPC分类号: G06F17/30

    摘要: The present invention relates to a method of generating a distributed text index for parallel query processing by a number of nodes. A set of node indices is generated for text indexing a set of documents, each node text index covering a subset of the documents. For each node text index, a local frequency measure for each term of the node text index is calculated on the basis of a frequency of documents containing the term in the subset of the documents of the node. A global frequency measure for each term is calculated on the basis of a frequency of documents containing the term in the set of documents. A quality measure for each node text index is calculated on the basis of the local frequency measures of the terms of the node and the global frequency measure of the terms of the node.

    摘要翻译: 本发明涉及一种生成用于多个节点的并行查询处理的分布式文本索引的方法。 生成一组节点索引,用于文本索引一组文档,每个节点文本索引覆盖文档的一个子集。 对于每个节点文本索引,基于节点文档子集中包含术语的文档的频率来计算节点文本索引的每个术语的本地频率测量。 每个术语的全球频率测量是根据包含该组文件中的术语的文档的频率计算的。 基于节点的本地频率测量和节点项的全局频率测量,计算每个节点文本索引的质量度量。

    System and method of enhancing decoding performance of text indexes
    14.
    发明授权
    System and method of enhancing decoding performance of text indexes 失效
    提高文本索引解码性能的系统和方法

    公开(公告)号:US07756863B2

    公开(公告)日:2010-07-13

    申请号:US11112612

    申请日:2005-04-21

    IPC分类号: G06F7/00 G06F17/30

    CPC分类号: G06F17/30864 G06F17/30622

    摘要: A method of enhancing the decoding performance of text indexes of an indexed collection of text documents is disclosed. The posting list includes a plurality of list entries being of variable size depending on the value stored in each posting list entry. The inventive method is base on a statistical analysis of the posting list entries of the plurality of list entries. Prior to decoding, the method selects a decoding routine being appropriate to decode the most frequent type of posting list entries or of a plurality of various posting list entries. After selecting a particular decoding routine and executing the decoding routine for decoding of the entire posting list, a failure check is performed. In the exceptional case that a failure has occurred, a second alternative decoding procedure is selected and executed.

    摘要翻译: 公开了一种增强索引的文本文档集合的文本索引的解码性能的方法。 发布列表包括根据存储在每个发布列表条目中的值而具有可变大小的多个列表条目。 本发明的方法基于对多个列表条目的发布列表条目的统计分析。 在解码之前,该方法选择适合于解码最频繁类型的发布列表条目或多个各种发布列表条目的解码程序。 在选择特定解码例程并执行用于解码整个发布列表的解码程序之后,执行故障检查。 在发生故障的特殊情况下,选择并执行第二替代解码过程。

    DIAGNOSTIC AND THERAPEUTIC METHODS BASED ON THE L1 ADHESION MOLECULE FOR OVARIAN AND ENDOMETRIAL TUMORS
    15.
    发明申请
    DIAGNOSTIC AND THERAPEUTIC METHODS BASED ON THE L1 ADHESION MOLECULE FOR OVARIAN AND ENDOMETRIAL TUMORS 有权
    诊断和治疗方法基于L1粘连分子的OVARIAN和子宫内​​膜肿瘤

    公开(公告)号:US20080138331A1

    公开(公告)日:2008-06-12

    申请号:US11865989

    申请日:2007-10-02

    IPC分类号: A61K39/395 A61P37/00

    摘要: A method is described for the diagnosis of an ovarian or endometrial tumor or for a prognosis, characterized in that the L1 level is determined in a patient sample, preferably via an anti L1 antibody, the presence of L1 being an indication of the presence of an ovarian or endometrial tumor or a predisposition for such a tumor. Furthermore, methods for treating of ovarian or endometrial tumors are provided.

    摘要翻译: 描述了用于诊断卵巢或子宫内膜肿瘤或预后的方法,其特征在于L1水平优选通过抗L1抗体在患者样品中测定,L1的存在是存在 卵巢或子宫内膜肿瘤或这种肿瘤的倾向。 此外,提供了治疗卵巢或子宫内膜肿瘤的方法。

    Method of generating a distributed text index for parallel query processing
    16.
    发明授权
    Method of generating a distributed text index for parallel query processing 有权
    生成用于并行查询处理的分布式文本索引的方法

    公开(公告)号:US07324988B2

    公开(公告)日:2008-01-29

    申请号:US10805402

    申请日:2004-03-19

    IPC分类号: G06F17/30

    摘要: The present invention relates to a method of generating a distributed text index for parallel query processing by a number of nodes. A set of node indices is generated for text indexing a set of documents, each node text index covering a subset of the documents. For each node text index, a local frequency measure for each term of the node text index is calculated on the basis of a frequency of documents containing the term in the subset of the documents of the node. A global frequency measure for each term is calculated on the basis of a frequency of documents containing the term in the set of documents. A quality measure for each node text index is calculated on the basis of the local frequency measures of the terms of the node and the global frequency measure of the terms of the node.

    摘要翻译: 本发明涉及一种生成用于多个节点的并行查询处理的分布式文本索引的方法。 生成一组节点索引,用于文本索引一组文档,每个节点文本索引覆盖文档的一个子集。 对于每个节点文本索引,基于节点文档子集中包含术语的文档的频率来计算节点文本索引的每个术语的本地频率测量。 每个术语的全球频率测量是根据包含该组文件中的术语的文档的频率计算的。 基于节点的本地频率测量和节点项的全局频率测量,计算每个节点文本索引的质量度量。

    System and Method of Enhancing Decoding Performance of Text Indexes
    17.
    发明申请
    System and Method of Enhancing Decoding Performance of Text Indexes 失效
    提高文本索引解码性能的系统和方法

    公开(公告)号:US20100217761A1

    公开(公告)日:2010-08-26

    申请号:US12775546

    申请日:2010-05-07

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30864 G06F17/30622

    摘要: The present invention provides a system for enhancing the decoding performance of text indexes of an indexed collection of text documents. The posting list includes a plurality of list entries being of variable size depending on the value stored in each posting list entry. The inventive system is based on a statistical analysis of the posting list entries of the plurality of list entries. Prior to decoding, the system can select a decoding procedure being appropriate to decode the most frequent type of posting list entries or of a plurality of various posting list entries. After selecting a particular decoding procedure and executing the decoding procedure for decoding of the entire posting list, a failure check is performed. In the exceptional case that a failure has occurred, a second alternative decoding procedure is selected and executed.

    摘要翻译: 本发明提供了一种用于增强索引的文本文档集合的文本索引的解码性能的系统。 发布列表包括根据存储在每个发布列表条目中的值而具有可变大小的多个列表条目。 本发明的系统基于对多个列表条目的发布列表条目的统计分析。 在解码之前,系统可以选择适合于解码最频繁类型的发布列表条目或多个各种发布列表条目的解码过程。 在选择特定解码过程并执行用于解码整个发布列表的解码过程之后,执行故障检查。 在发生故障的特殊情况下,选择并执行第二替代解码过程。

    Diagnostic and therapeutic methods based on the L1 adhesion molecule for ovarian and endometrial tumors
    18.
    发明授权
    Diagnostic and therapeutic methods based on the L1 adhesion molecule for ovarian and endometrial tumors 有权
    基于L1粘附分子的卵巢和子宫内膜肿瘤的诊断和治疗方法

    公开(公告)号:US07670601B2

    公开(公告)日:2010-03-02

    申请号:US11865989

    申请日:2007-10-02

    IPC分类号: A61K39/395

    摘要: A method is described for the diagnosis of an ovarian or endometrial tumor or for a prognosis, characterized in that the L1 level is determined in a patient sample, preferably via an anti L1 antibody, the presence of L1 being an indication of the presence of an ovarian or endometrial tumor or a predisposition for such a tumor. Furthermore, methods for treating of ovarian or endometrial tumors are provided.

    摘要翻译: 描述了一种用于诊断卵巢或子宫内膜肿瘤或预后的方法,其特征在于在患者样品中优选通过抗L1抗体测定L1水平,L1的存在是存在 卵巢或子宫内膜肿瘤或这种肿瘤的倾向。 此外,提供了治疗卵巢或子宫内膜肿瘤的方法。

    Diagnostic and therapeutic methods based on the L1 adhesion molecule for ovarian and endometrial tumors
    19.
    发明授权
    Diagnostic and therapeutic methods based on the L1 adhesion molecule for ovarian and endometrial tumors 有权
    基于L1粘附分子的卵巢和子宫内膜肿瘤的诊断和治疗方法

    公开(公告)号:US07618785B2

    公开(公告)日:2009-11-17

    申请号:US10332876

    申请日:2001-07-10

    IPC分类号: C12Q1/70 G01N33/53

    摘要: A method is described for the diagnosis of an ovarian or endometrial tumor or for a prognosis, characterized in that the L1 level is determined in a patient sample, preferably via an anti L1 antibody, the presence of L1 being an indication of the presence of an ovarian or endometrial tumor or a predisposition for such a tumor. Furthermore, methods for treating of ovarian or endometrial tumors are provided.

    摘要翻译: 描述了用于诊断卵巢或子宫内膜肿瘤或预后的方法,其特征在于L1水平优选通过抗L1抗体在患者样品中测定,L1的存在是存在 卵巢或子宫内膜肿瘤或这种肿瘤的倾向。 此外,提供了治疗卵巢或子宫内膜肿瘤的方法。

    Method for Autonomous Dynamic Voltage and Frequency Scaling of Microprocessors
    20.
    发明申请
    Method for Autonomous Dynamic Voltage and Frequency Scaling of Microprocessors 有权
    微处理器的自动动态电压和频率调节方法

    公开(公告)号:US20080098254A1

    公开(公告)日:2008-04-24

    申请号:US11838331

    申请日:2007-08-14

    IPC分类号: G06F1/08

    摘要: A method for autonomous dynamic voltage (v) and frequency (f) scaling (DVFS) of a microprocessor, wherein autonomous detection of phases of high microprocessor workload and prediction of their duration is performed (PID). The microprocessor frequency (f) will be temporarily increased (LUT) to an appropriate safe value (even beyond its nominal frequency) consistent with technological and ambient constraints in order to improve performance when the computer system comprising the microprocessor benefits most, while during phases of low microprocessor workload its frequency (f) and voltage (v) will be decreased to save energy. This technique exploits hidden performance capabilities and improves the total performance of a computer system without compromising operational stability. No additional hardware such as service processors is needed for contemporary computer systems supporting performance counters and DFVS already. The invention allows significantly increasing the total computer system performance with only minimal impact on power (PMAX, PACTUAL) consumption.

    摘要翻译: 一种用于微处理器的自主动态电压(v)和频率(f)缩放(DVFS)的方法,其中执行高微处理器工作负载的相位的自主检测及其持续时间的预测(PID)。 微处理器频率(f)将临时增加(LUT)到与技术和环境约束一致的适当的安全值(甚至超过其标称频率),以便当包括微处理器的计算机系统受益最大时,提高性能,同时在 低微处理器工作负载,其频率(f)和电压(v)将降低以节省能源。 该技术利用隐藏的性能功能,并提高计算机系统的总体性能,而不会影响操作稳定性。 不需要支持性能计数器和DFVS的现代计算机系统等附加硬件,如服务处理器。 本发明允许显着地增加总计算机系统的性能,而对功率(P MAX),功耗(P <