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    Method and apparatus for adjusting the model threshold of a support vector machine for text classification and filtering
    1.
    发明申请
    Method and apparatus for adjusting the model threshold of a support vector machine for text classification and filtering 失效
    用于调整用于文本分类和过滤的支持向量机的模型阈值的方法和装置

    公开(公告)号：US20050228783A1

    公开(公告)日：2005-10-13

    申请号：US10822327

    申请日：2004-04-12

    Applicant: James Shanahan ,  Norbert Roma ,  David Evans

    Inventor： James Shanahan ,  Norbert Roma ,  David Evans

    IPC: G06F17/30 ,  G06F7/00 ,  G06F15/18 ,  G06K9/62 ,  G06N5/02

    CPC classification number: G06F17/3069 ,  G06K9/6269

    Abstract: An information need can be modeled by a binary classifier such as support vector machine (SVM). SVMs can exhibit very conservative precision oriented behavior when modeling information needs. This conservative behavior can be overcome by adjusting the position of the hyperplane, the geometric representation of a SVM. The present invention describes a couple of automatic techniques for adjusting the position of an SVM model based upon a beta-gamma thresholding procedure, cross fold validation and retrofitting. This adjustment technique can also be applied to other types of learning strategies.

    Abstract translation: 信息需求可以由诸如支持向量机（SVM）的二进制分类器来建模。 当建模信息需求时，SVM可以表现出非常保守的精确定向行为。 这种保守的行为可以通过调整超平面的位置，SVM的几何表示来克服。 本发明描述了一些用于基于β-gamma阈值处理程序，交叉验证和翻新来调整SVM模型的位置的自动技术。 这种调整技术也可以应用于其他类型的学习策略。

    Method and apparatus for constructing a compact similarity structure and for using the same in analyzing document relevance
    2.
    发明申请
    Method and apparatus for constructing a compact similarity structure and for using the same in analyzing document relevance 失效
    用于构建紧凑型相似度结构并用于分析文档相关性的方法和装置

    公开(公告)号：US20070136336A1

    公开(公告)日：2007-06-14

    申请号：US11298500

    申请日：2005-12-12

    Applicant: James Shanahan ,  Norbert Roma ,  David Evans

    Inventor： James Shanahan ,  Norbert Roma ,  David Evans

    IPC: G06F7/00

    CPC classification number: G06F17/30705 ,  Y10S707/99935 ,  Y10S707/99942

    Abstract: A computer-readable medium comprises data structure for providing information about levels of similarity between pairs of N documents. The data structure comprises a plurality of entries of similarity values representing levels of similarity for a plurality of pairs of the documents. Each of the similarity values represents a level of similarity of one document of a given pair relative to the other document of the given pair. The similarity value of each entry is greater than a threshold similarity value that is greater than zero. The plurality of similarity-value entries are fewer than N2−N in number if the similarity values are asymmetric with regard to document pairing, and the plurality of similarity-value entries are fewer than N 2 - N 2 in number if the similarity values are symmetric with regard to document pairing. A method and apparatus for generating the data structure are described.

    Abstract translation: 计算机可读介质包括用于提供关于N个文档对之间的相似性级别的信息的数据结构。 数据结构包括表示多对文档对象的相似度级的多个相似度条目。 每个相似度值表示给定对的一个文档相对于给定对的另一个文档的相似度级别。 每个条目的相似度值大于大于零的阈值相似度值。 如果相似度值对于文档配对是不对称的，则多个相似值条目数量少于N≥2，并且多个相似值条目少于 N 2 如果相似性值是对称的，则数字中的 - N 2 文件配对。 描述了用于生成数据结构的方法和装置。

      Enzyme inhibitor compounds
      5.
      发明授权
      Enzyme inhibitor compounds 有权

      公开(公告)号：US09150574B2

      公开(公告)日：2015-10-06

      申请号：US14344417

      申请日：2011-09-14

      Applicant: David Evans ,  Allison Carley ,  Alison Stewart ,  Michael Higginbottom ,  Edward Savory ,  Iain Simpson ,  Marianne Nilsson ,  Martin Haraldsson ,  Erik Nordling ,  Tobias Koolmeister

      Inventor： David Evans ,  Allison Carley ,  Alison Stewart ,  Michael Higginbottom ,  Edward Savory ,  Iain Simpson ,  Marianne Nilsson ,  Martin Haraldsson ,  Erik Nordling ,  Tobias Koolmeister

      IPC: C07D471/02 ,  A61K31/55 ,  C07D471/04

      CPC classification number: C07D471/04

      Abstract: 2-{4-[1-(4-chlorophenyl)-1H-pyrrolo[2,3-c]pyridin-3-yl]piperidin-1-yl}ethan-1-amine; 3-aminopropyl 4-[1-(4-chlorophenyl)-1H-pyrrolo[2,3-c]pyridin-3-yl]piperidine-1-carboxylate; 1-{4-[1-(4-chlorophenyl)-1H-pyrrolo[2,3-c]pyridin-3-yl]piperidin-1-yl}-4-(dimethylamino)butan-1-one; 5-amino-1-{4-[1-(4-chlorophenyl)-1H-pyrrolo[2,3-c]pyridin-3-yl]piperidin-1-yl}pentan-1-one; N-(2-aminoethyl)-4-[1-(4-chlorophenyl)-1H-pyrrolo[2,3-c]pyridin-3-yl]piperidine-1-carboxamide; N-(3-aminopropyl)-4-[1-(4-chlorophenyl)-1H-pyrrolo[2,3-c]pyridin-3-yl]piperidine-1-carboxamide; 4-[1-(4-chlorophenyl)-1H-pyrrolo[2,3-c]pyridin-3-yl]-N-[3-(dimethylamino)propyl]piperidine-1-carboxamide; 1-({4-[1-(4-chlorophenyl)-1H-pyrrolo[2,3-c]pyridin-3-yl]piperidin-1-yl}carbonyl)piperazine; 4-({4-[1-(4-chlorophenyl)-1H-pyrrolo[2,3-c]pyridin-3-yl]piperidin-1-yl}carbonyl)morpholine; 1-({4-[1-(4-chlorophenyl)-1H-pyrrolo[2,3-c]pyridin-3-yl]piperidin-1-yl}carbonyl)-1,4-diazepane; ethyl 1-[1-(4-chlorophenyl)-1H-pyrazolo[3,4-c]pyridin-3-yl]piperidine-4-carboxylate; ethyl 1-[1-(4-methylphenyl)-1H-pyrazolo[3,4-c]pyridin-3-yl]piperidine-4-carboxylate; 1-[1-(4-chlorophenyl)-1H-pyrazolo[3,4-c]pyridin-3-yl]piperidine-4-carboxylic acid; N-(2-aminoethyl)-1-[1-(4-chlorophenyl)-1H-pyrazolo[3,4-c]pyridin-3-yl]piperidine-4-carboxamide; 4-({1-[1-(4-chlorophenyl)-1H-pyrazolo[3,4-c]pyridin-3-yl]piperidin-4yl}carbonyl)morpholine; 1-({1-[1-(4-chlorophenyl)-1H-pyrazolo[3,4-c]pyridin-3-yl]piperidin-4-yl}carbonyl)piperazine; {4-[1-(4-methylphenyl)-1H-pyrazolo[3,4-c]pyridin-3-yl]morpholin-3-yl}methanol; {4-[1-(4-methyl-phenyl)-1H-pyrazolo[3,4-c]pyridin-3-yl]morpholin-2-yl}methanol; [(3R)-4-[1-(4-chlorophenyl)-1H-pyrazolo[3,4-c]pyridin-3-yl]morpholin-3-yl]methanol; methyl 4-[1-(4-chlorophenyl)-1H-pyrazolo[3,4-c]pyridin-3-yl]morpholine-3-carboxylate; N-(2-aminoethyl)-4-[1-(4-chlorophenyl)-1H-pyrazolo[3,4-c]pyridin-3-yl]morpholine-3-carboxamide; 2-{4-[1-(4-chlorophenyl)-1H-pyrazolo[3,4-c]pyridin-3-yl]morpholin-3-yl}ethan-1-ol; methyl 1-[1-(4-chlorophenyl)-1H-pyrazolo[3,4-c]pyridin-3-yl]piperidine-2-carboxylate; N-(2-aminoethyl)-1-[1-(4-chlorophenyl)-1H-pyrazolo[3,4-c]pyridin-3-yl]piperidine-2-carboxamide; 1-({1-[1-(4-chlorophenyl)-1H-pyrazolo[3,4-c]pyridin-3-yl]piperidin-2-yl}carbonyl)piperazine; 4-[1-(4-methylphenyl)-1H-pyrrolo[2,3-c]pyridin-3-yl]morpholine; 1-(4-chlorophenyl)-3-(piperidin-4-yl)-1H-pyrrolo[2,3-c]pyridin-4-ol; N-butyl-1-(4-chlorophenyl)-N-methyl-1H-pyrazolo[3,4-c]pyridin-3-amine; 1-[4-(fluoromethyl)phenyl]-3-(oxan-4-yl)-1H-pyrazolo[3,4-c]pyridine; and 3-({4-[1-(4-chlorophenyl)-1H-pyrazolo[3,4-c]pyridin-3-yl]piperidin-1-yl}methyl)pyridine are useful for the inhibition of SSAO activity.

      Pool Construction Method
      7.
      发明申请
      Pool Construction Method 审中-公开
      池施工方法

      公开(公告)号：US20140304906A1

      公开(公告)日：2014-10-16

      申请号：US13859818

      申请日：2013-04-10

      Applicant: Walter Judson Bennett ,  David Evans

      Inventor： Walter Judson Bennett ,  David Evans

      IPC: E04H4/14 ,  E02D3/00

      CPC classification number: E02D3/00 ,  E04H4/0037 ,  E04H4/0056 ,  E04H2004/146 ,  Y10T29/49801

      Abstract: The present invention relates to a new construction method for swimming pools, surfing pools, body boarding pools, wave pools, water park pools, kayaking and white water rafting courses and pools, wake boarding pools, water skiing pools and jet skiing pools, static surfing simulators, deep water river standing wave attractions. The present invention construction method can also be used in lagoons, ponds, lakes, and rivers. The invention will save construction costs, and save pool construction time.

      Abstract translation: 本发明涉及游泳池，冲浪池，身体游泳池，波浪池，水上公园游泳池，皮划艇和白水漂流课程和游泳池，唤醒游泳池，滑水游泳池和喷气式滑雪游泳池的新的施工方法，静态冲浪 模拟器，深水河站立波浪景点。 本发明的施工方法也可用于泻湖，池塘，湖泊和河流。 本发明可节省施工成本，节约施工时间。

      Method and system for assessing a musical performance
      9.
      发明授权
      Method and system for assessing a musical performance 失效
      用于评估音乐表演的方法和系统

      公开(公告)号：US08367921B2

      公开(公告)日：2013-02-05

      申请号：US11568265

      申请日：2005-01-31

      Applicant: David Evans ,  Benjamin Ruciak ,  William Thorpe

      Inventor： David Evans ,  Benjamin Ruciak ,  William Thorpe

      IPC: G04B13/00

      CPC classification number: G09B15/00 ,  G09B5/04

      Abstract: The invention relates to a method and system for assessing a performance of a musical composition in relation to a model performance of the same composition. In particular, as even a model performance does not follow a score of a composition precisely, the present invention initially correlates the model performance to a score of the performed composition. This allows for an accurate assessment of the timing of the assessable performance, relative to the timing of the model performance. The invention is of particular use where the assessable performance is performed along with the model performance, but the two performances are remote from each other.

      Abstract translation: 本发明涉及一种用于评估与相同构图的模型演奏相关的乐曲的演奏的方法和系统。 特别地，即使模型性能也不能精确地跟随组合得分，本发明最初将模型性能与所执行的组合的得分相关联。 这样可以准确地评估可评估绩效的时间，相对于模型绩效的时间。 本发明在评估性能与模型性能一起执行时具有特别的用途，但两种性能彼此远离。

      Multi-touch detection
      10.
      发明授权
      Multi-touch detection 有权
      多点触摸检测

      公开(公告)号：US08358268B2

      公开(公告)日：2013-01-22

      申请号：US12178415

      申请日：2008-07-23

      Applicant: David Evans

      Inventor： David Evans

      IPC: G09G5/00

      CPC classification number: G06F3/041 ,  G01S7/003 ,  G01S7/497 ,  G01S15/876 ,  G01S17/87

      Abstract: A multi-touch system is provided. The multi-touch system includes a multi-touch detection area generated by a mobile device and a first communication device, the mobile device and first or second communication device being movable relative to each other. The mobile device is operable to determine a first set of coordinates for a first detectable object within the multi-touch detection area as a function of: a distance between the mobile device and the first communication device, a distance between the mobile device and first detectable object, and a distance between the first communication device and first detectable object.

      Abstract translation: 提供多点触控系统。 多点触摸系统包括由移动设备和第一通信设备生成的多点触摸检测区域，移动设备和第一或第二通信设备可相对于彼此移动。 移动设备可操作以根据以下功能确定多点触摸检测区域内的第一可检测对象的第一组坐标：移动设备与第一通信设备之间的距离，移动设备与第一可检测对象之间的距离 物体和第一通信设备与第一可检测对象之间的距离。

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