公开(公告)号：US20070018724A1

公开(公告)日：2007-01-25

申请号：US11483053

申请日：2006-07-07

Applicant: Larry Kirn ,  Patrick Lucci ,  James Shanahan

Inventor： Larry Kirn ,  Patrick Lucci ,  James Shanahan

IPC: H03F3/217

CPC classification number: H03F3/217 ,  H03F2200/114 ,  H03K5/135

Abstract: A method of synchronizing static or dynamic dissimilar output sampling rates of multiple outputs of an integrated switching amplifier uses the step of synchronizing dissimilar static or dynamic sampling rates of multiple outputs to yield improved sonic quality, higher efficiency, lower EMI or other benefits. According to the preferred embodiment, the synchronizing is carried out with respect to pulse leading edges.

Abstract translation: 一种使集成开关放大器的多个输出的静态或动态不同输出采样率同步的方法使用同步多个输出的不同静态或动态采样率的步骤，以产生改善的声音质量，更高的效率，更低的EMI或其他益处。 根据优选实施例，相对于脉冲前沿执行同步。

公开(公告)号：US07554398B2

公开(公告)日：2009-06-30

申请号：US11483053

申请日：2006-07-07

Applicant: Larry Kirn ,  Patrick Lucci ,  James Shanahan

Inventor： Larry Kirn ,  Patrick Lucci ,  James Shanahan

IPC: H03F3/217

CPC classification number: H03F3/217 ,  H03F2200/114 ,  H03K5/135

Abstract: A method of synchronizing static or dynamic dissimilar output sampling rates of multiple outputs of an integrated switching amplifier uses the step of synchronizing dissimilar static or dynamic sampling rates of multiple outputs to yield improved sonic quality, higher efficiency, lower EMI or other benefits. According to the preferred embodiment, the synchronizing is carried out with respect to pulse leading edges.

Abstract translation: 一种使集成开关放大器的多个输出的静态或动态不同输出采样率同步的方法使用同步多个输出的不同静态或动态采样率的步骤，以产生改善的声音质量，更高的效率，更低的EMI或其他益处。 根据优选实施例，相对于脉冲前沿执行同步。

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。

公开(公告)号：US20140278981A1

公开(公告)日：2014-09-18

申请号：US14350017

申请日：2012-10-06

Applicant: Gueorgui Mersov ,  James Shanahan ,  Vince Prevost ,  Yuanyi Pan ,  Alan Steven Levine

Inventor： Gueorgui Mersov ,  James Shanahan ,  Vince Prevost ,  Yuanyi Pan ,  Alan Steven Levine

IPC: G06Q30/02

CPC classification number: G06Q30/0275 ,  G06Q30/02 ,  G06Q30/0255 ,  G06Q30/08

Abstract: There are provided systems and methods for allocation of digital media over communication networks. A bidding platform for digital advertising manages multichannel buying of digital media using impression-level decisioning based on multiple parameters and data sources. When a request for an ad is received from a publisher or other supply side entity, such as an ad exchange or supply side platform, an expected value of the advertisement impression to each advertiser is calculated, in some cases, in real time, on behalf of the advertiser using media-buying rules. An ad having a highest expected value is selected, and the bidding platform responds to the ad request with a bid and the selected ad, and serves the winning ad if bid response wins the publisher side auction, resulting in an ad impression for the winning ad. User interactions with the ad are recorded and leveraged to optimize further the media buying rules.

Abstract translation: 提供了通过通信网络分配数字媒体的系统和方法。 数字广告的投标平台使用基于多个参数和数据源的印象级决策来管理数字媒体的多渠道购买。 当从发布商或其他供应方实体（例如广告交换或供应方平台）收到广告请求时，代表每个广告客户的广告展示的预期价值在某些情况下被实时计算 的广告客户使用媒体购买规则。 选择具有最高预期值的广告，并且出价平台通过出价和所选广告来回应广告请求，并且如果出价响应赢得发布者侧面的竞价，则为获胜广告提供服务，导致获胜广告的广告展示 。 记录和利用用户与广告的互动，进一步优化媒体购买规则。

公开(公告)号：US20070055558A1

公开(公告)日：2007-03-08

申请号：US11506844

申请日：2006-08-21

Applicant: James Shanahan ,  Ricardo Silva ,  Jiji Zhang

Inventor： James Shanahan ,  Ricardo Silva ,  Jiji Zhang

IPC: G06F17/50

CPC classification number: G06Q10/06 ,  G06Q10/06316 ,  G06Q10/0633

Abstract: A method and processing system for generating a workflow graph from empirical data of a process are described. Data for multiple instances of a process are obtained, the data including information about task ordering. The processing system analyzes occurrences of tasks to identify order constraints. A set of nodes representing tasks is partitioned into a series of subsets, where no node of a given subset is constrained to precede any other node of the given subset unless said pair of nodes are conditionally independent given one or more nodes in an immediately preceding subset, and such that no node of a following subset is constrained to precede any node of the given subset. Nodes of each subset are connected to nodes of each adjacent subset with edges based upon the order constraints and based upon conditional independence tests applied to subsets of nodes, thereby providing a workflow graph.

Abstract translation: 描述了用于从过程的经验数据生成工作流图的方法和处理系统。 获得一个进程的多个实例的数据，该数据包括关于任务排序的信息。 处理系统分析任务的出现以识别订单约束。 表示任务的一组节点被划分成一系列子集，其中给定子集的任何节点在给定子集的任何其他节点之前不被约束，除非所述一对节点有条件地独立于给定一个或多个紧邻的子集中的一个或多个节点 ，并且使得以下子集的任何节点不被约束到给定子集的任何节点之前。 每个子集的节点基于订单约束并基于应用于节点子集的条件独立性测试，连接到具有边的每个相邻子集的节点，从而提供工作流图。

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