利索-全球专利检索

  1. 登录
  2. 注册

搜索结果

123 条记录 (耗时 0.04 秒)

    Using commercial share of wallet in financial databases
    62.
    发明申请
    Using commercial share of wallet in financial databases 有权
    在金融数据库中使用钱包的商业份额

    公开(公告)号：US20070192165A1

    公开(公告)日：2007-08-16

    申请号：US11497530

    申请日：2006-08-02

    申请人： Kathleen Haggerty ,  Charles Lyon ,  Benedict Okoh ,  Robert Phelan ,  Jon Ruterman ,  Geraldine Turner ,  Chao Yuan

    发明人： Kathleen Haggerty ,  Charles Lyon ,  Benedict Okoh ,  Robert Phelan ,  Jon Ruterman ,  Geraldine Turner ,  Chao Yuan

    IPC分类号： G07G1/00

    CPC分类号： G06Q40/08 ,  G06Q20/363 ,  G06Q20/3676 ,  G06Q30/0201 ,  G06Q40/00

    摘要： Commercial size of spending wallet (“CSoSW”) is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet (“CSoW”) is the portion of the spending wallet that is captured by a particular financial company. A modeling approach utilizes various data sources to provide outputs that describe a company's spend capacity. Companies which provide databases of financial information about other companies can use scores provided by this CSoW/CSoSW modeling approach to give an indication of how much the company is likely to spend in the future.

    摘要翻译： 消费钱包（“CSoSW”）的商业规模是包括现金在内的业务的总体业务支出，但不包括有条件的项目。 钱包的商业份额（“CSoW”）是由特定金融公司捕获的消费钱包的部分。 建模方法利用各种数据源来提供描述公司支出能力的输出。 提供有关其他公司的财务信息数据库的公司可以使用此CSoW / CSoSW建模方法提供的分数来表明公司未来可能花费多少。

    Reducing Risks Related to Check Verification
    63.
    发明申请
    Reducing Risks Related to Check Verification 有权
    降低与检查验证相关的风险

    公开(公告)号：US20070168246A1

    公开(公告)日：2007-07-19

    申请号：US11615747

    申请日：2006-12-22

    申请人： Kathleen Haggerty ,  Benedict Okoh ,  Chao Yuan

    发明人： Kathleen Haggerty ,  Benedict Okoh ,  Chao Yuan

    IPC分类号： G07G1/00 ,  G06F17/30

    CPC分类号： G06Q40/025 ,  G06Q20/102 ,  G06Q40/00

    摘要： Share of Wallet (“SOW”) is a modeling approach that utilizes various data sources to provide scores that describe a consumers spending capability, tradeline history including balance transfers, and balance information. Share of wallet scores can be used as a parameter for determining whether or not to accept and/or guarantee a check. The share of wallet can be used to calculate a risk value of a customer. For example, the scores can weight one or more factors related to the check writer and differentiate between a low-risk customer and a high-risk customer.

    摘要翻译： 电子钱包的份额（“SOW”）是一种建模方法，利用各种数据来提供描述消费者支出能力，交易历史，包括余额转移和余额信息的分数。 钱包分数的份额可以用作确定是否接受和/或保证支票的参数。 钱包的份额可用于计算客户的风险值。 例如，分数可以加权与支票作者相关的一个或多个因素，并区分低风险客户和高风险客户。

    Using commercial share of wallet in private equity investments
    64.
    发明申请
    Using commercial share of wallet in private equity investments 有权
    在私募股权投资中使用钱包的商业份额

    公开(公告)号：US20070078741A1

    公开(公告)日：2007-04-05

    申请号：US11497521

    申请日：2006-08-02

    申请人： Kathleen Haggerty ,  Charles Lyon ,  Benedict Okoh ,  Robert Phelan ,  Jon Ruterman ,  Geraldine Turner ,  Chao Yuan

    发明人： Kathleen Haggerty ,  Charles Lyon ,  Benedict Okoh ,  Robert Phelan ,  Jon Ruterman ,  Geraldine Turner ,  Chao Yuan

    IPC分类号： G06Q40/00

    CPC分类号： G06Q30/0201 ,  G06Q40/00 ,  G06Q40/025 ,  G06Q40/06 ,  G06Q40/08

    摘要： Commercial size of spending wallet (“CSoSW”) is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet (“CSoW”) is the portion of the spending wallet that is captured by a particular financial company. A modeling approach utilizes various data sources to provide outputs that describe a company's spend capacity. Private equity firms and other investors of small businesses can use the CSoW/CSoSW modeling approach to more accurately evaluate small and privately held companies, both during investment and for evaluating prospective investments. Over-the-counter securities trading systems can also use this modeling approach to provide more accurate information and/or rankings of listed companies to their customers.

    摘要翻译： 消费钱包（“CSoSW”）的商业规模是包括现金在内的业务的总体业务支出，但不包括有条件的项目。 钱包的商业份额（“CSoW”）是由特定金融公司捕获的消费钱包的部分。 建模方法利用各种数据源来提供描述公司支出能力的输出。 私募股权公司和小企业的其他投资者可以使用CSoW / CSoSW建模方法，在投资和评估潜在投资期间更准确地评估小型和私营公司。 非处方证券交易系统也可以使用此建模方法向其客户提供更准确的上市公司信息和/或排名。

    Determining commercial share of wallet
    65.
    发明申请
    Determining commercial share of wallet 有权
    确定钱包的商业份额

    公开(公告)号：US20070067209A1

    公开(公告)日：2007-03-22

    申请号：US11497563

    申请日：2006-08-02

    申请人： Kathleen Haggerty ,  Charles Lyon ,  Robert Phelan ,  Jon Ruterman ,  Geraldine Turner ,  Chao Yuan

    发明人： Kathleen Haggerty ,  Charles Lyon ,  Robert Phelan ,  Jon Ruterman ,  Geraldine Turner ,  Chao Yuan

    IPC分类号： G06F17/30

    CPC分类号： G06Q30/0202 ,  G06Q40/00 ,  G06Q40/08

    摘要： Commercial size of spending wallet (“SoSW”) is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet (“SoW”) is the portion of the spending wallet that is captured by a particular financial company. Commercial SoW is a modeling approach that utilizes various data sources to provide outputs that describe a company's spend capacity. These outputs can be appended to data profiles of customers and prospects and can be utilized to support decisions involving prospecting, new account evaluation, and customer management across the lifecycle. Company financial statements are utilized to identify and calculate total business spend of a company that could be transacted using a commercial credit card. A spend-like regression model may then be developed to estimate annual commercial SoSW value for customers and prospects within a credit network.

    摘要翻译： 消费钱包（“SoSW”）的商业规模是包括现金在内的业务的总体业务支出，但不包括有条件的项目。 钱包的商业份额（“SoW”）是特定金融公司所占用的消费钱包部分。 商业SoW是一种建模方法，利用各种数据来提供描述公司支出能力的产出。 这些输出可以附加到客户和潜在客户的数据配置文件中，并可用于支持整个生命周期中涉及探矿，新客户评估和客户管理的决策。 公司财务报表用于识别和计算可以使用商业信用卡交易的公司的总体业务支出。 然后可以开发一个花费回归模型来估计信用网络中的客户和潜在客户的年度商业SoSW价值。

    BAYESIAN APPROACH FOR GAS CONCENTRATION RECONSTRUCTION BASED ON TUNABLE DIODE LASER ABSORPTION SPECTROSCOPY
    67.
    发明申请
    BAYESIAN APPROACH FOR GAS CONCENTRATION RECONSTRUCTION BASED ON TUNABLE DIODE LASER ABSORPTION SPECTROSCOPY 有权
    基于TUNABLE二极管激光吸收光谱的气体浓度重建的贝叶斯方法

    公开(公告)号：US20140347365A1

    公开(公告)日：2014-11-27

    申请号：US14345418

    申请日：2012-08-22

    申请人： Chao Yuan

    发明人： Chao Yuan

    IPC分类号： G06T11/00 ,  G06T11/20

    CPC分类号： G06T11/006 ,  G06T11/206 ,  G06T2211/424 ,  G06T2211/436

    摘要： Systems and methods construct a 2 dimensional (2D) gas concentration map (image) from data from one or more laser based absorption projection paths. Embodiments use a Bayesian approach to construct a 2D gas concentration map of a combustion region cross section plane by modeling the 2D map as a Gaussian Process (GP). The GP models the global correlation among all pixels in the 2D map. Data from one or more projection paths is propagated to all pixels in the map instead of just local pixels. The correlation among map pixels is used to propagate projection path data from map pixels traversed by a projection path to other map pixels.

    摘要翻译： 系统和方法根据来自一个或多个基于激光的吸收投影路径的数据构建二维（2D）气体浓度图（图像）。 实施例使用贝叶斯方法通过将2D图建模为高斯过程（GP）来构建燃烧区域横截面的2D气体浓度图。 GP建模2D图中所有像素之间的全局相关性。 来自一个或多个投影路径的数据被传播到地图中的所有像素，而不是局部像素。 地图像素之间的相关性用于将投影路径数据从投影路径遍历的地图像素传播到其他地图像素。

    System and method for conditional multi-output regression for machine condition monitoring
    68.
    发明授权
    System and method for conditional multi-output regression for machine condition monitoring 失效
    用于机器状态监测的条件多输出回归的系统和方法

    公开(公告)号：US08781782B2

    公开(公告)日：2014-07-15

    申请号：US13226863

    申请日：2011-09-07

    申请人： Chao Yuan

    发明人： Chao Yuan

    IPC分类号： G05B17/02 ,  G06N7/00

    CPC分类号： G05B17/02 ,  G06N7/005

    摘要： A method for predicting sensor output values of a sensor monitoring system, includes providing a set test input values to a system of sensors, and one or more known sensor output values from the sensor system, where other sensor output values are unknown, calculating, for each unknown sensor output value, a predictive Gaussian distribution function from the test input values and the known output sensor values, and predicting each unknown output ym by integrating over a product of the predictive Gaussian distribution function and a conditional Gaussian distribution of the unknown output sensor values with respect to the test input values and other unknown output sensor values. A mean and covariance of the predictive Gaussian distribution function are determined from a training phase, and a hyperparameter of the conditional Gaussian distribution are determined by another training phase.

    摘要翻译： 一种用于预测传感器监测系统的传感器输出值的方法，包括向传感器系统提供设定的测试输入值以及来自传感器系统的一个或多个已知的传感器输出值，其中其他传感器输出值是未知的，计算 每个未知传感器输出值，来自测试输入值和已知输出传感器值的预测高斯分布函数，以及通过对预测高斯分布函数的乘积和未知输出传感器的条件高斯分布进行积分来预测每个未知输出ym 相对于测试输入值和其他未知输出传感器值的值。 从训练阶段确定预测高斯分布函数的平均和协方差，并且另一个训练阶段确定条件高斯分布的超参数。