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11. 发明授权

US06807537B1 Mixtures of Bayesian networks 失效
标题翻译：贝叶斯网络的混合
公开(公告)号：US06807537B1
公开(公告)日：2004-10-19
申请号：US08985114
申请日：1997-12-04
申请人： Bo Thiesson , Christopher A. Meek , David Maxwell Chickering , David Earl Heckerman
发明人： Bo Thiesson , Christopher A. Meek , David Maxwell Chickering , David Earl Heckerman
IPC分类号： G06N302
CPC分类号： G06K9/6296 , G06N5/025 , Y10S707/99945 , Y10S707/99948
摘要： One aspect of the invention is the construction of mixtures of Bayesian networks. Another aspect of the invention is the use of such mixtures of Bayesian networks to perform inferencing. A mixture of Bayesian networks (MBN) consists of plural hypothesis-specific Bayesian networks (HSBNs) having possibly hidden and observed variables. A common external hidden variable is associated with the MBN, but is not included in any of the HSBNs. The number of HSBNs in the MBN corresponds to the number of states of the common external hidden variable, and each HSBN is based upon the hypothesis that the common external hidden variable is in a corresponding one of those states. In one mode of the invention, the MBN having the highest MBN score is selected for use in performing inferencing. In another mode of the invention, some or all of the MBNs are retained as a collection of MBNs which perform inferencing in parallel, their outputs being weighted in accordance with the corresponding MBN scores and the MBN collection output being the weighted sum of all the MBN outputs. In one application of the invention, collaborative filtering may be performed by defining the observed variables to be choices made among a sample of users and the hidden variables to be the preferences of those users.
摘要翻译：本发明的一个方面是构建贝叶斯网络的混合物。本发明的另一方面是使用贝叶斯网络的这种混合来执行推理。贝叶斯网络（MBN）的混合由多个具有隐藏和观察变量的假设特定贝叶斯网络（HSBN）组成。常见的外部隐藏变量与MBN相关联，但不包括在任何HSBN中。 MBN中的HSBN的数量对应于公共外部隐藏变量的状态数，并且每个HSBN基于公共外部隐藏变量在这些状态中的相应一个状态中的假设。在本发明的一种模式中，选择具有最高MBN分数的MBN用于执行推定。在本发明的另一模式中，一些或所有MBN被保留为并行执行推论的MBN的集合，其输出根据相应的MBN分数加权，并且MBN收集输出是所有MBN的加权和输出。在本发明的一个应用中，可以通过将观察到的变量定义为在用户样本中作出的选择和作为这些用户的偏好的隐藏变量来执行协同过滤。

12. 发明授权

US09542438B2 Term complete 有权
标题翻译：期限完成
公开(公告)号：US09542438B2
公开(公告)日：2017-01-10
申请号：US12140280
申请日：2008-06-17
申请人： Timothy S. Paek , Bongshin Lee , Bo Thiesson
发明人： Timothy S. Paek , Bongshin Lee , Bo Thiesson
IPC分类号： G06F3/048 , G06F17/30 , G06F3/0482
CPC分类号： G06F17/30401 , G06F3/0482 , G06F17/3064
摘要： Real-time query expansion (RTQE) is a process of supplementing an original query with additional terms or expansion choices that are ranked according to some figure of merit and presented while users are still formulating their queries. As disclosed herein, individual terms may be combined and submitted as a phrase into a query. By building the phase term-by-term, users can compositionally formulate queries while maintaining the same benefits that other RTQE interfaces offer. To promote greater flexibility in its working environment, the number of terms that are presented on a display may be reduced. In place of some terms, placeholders may be used and expanded by the user when necessary. This allows phrases to be readily presented on small displays (e.g., hand-held devices).
摘要翻译：实时查询扩展（RTQE）是一个补充原始查询的过程，附加条款或扩展选项根据某些品质因素进行排名，并在用户仍在制定查询时呈现。如本文所公开的，可以将各个术语组合并作为短语提交到查询中。通过逐步构建阶段，用户可以组合制定查询，同时保持与其他RTQE接口相同的优势。为了提高其工作环境的灵活性，可以减少在显示器上呈现的术语数量。代替某些术语，必要时可以由用户使用和扩展占位符。这允许在小显示器（例如，手持设备）上容易地呈现短语。

13. 发明授权

US08688417B2 Detecting impact of extrinsic events on a time series 有权
标题翻译：检测外部事件对时间序列的影响
公开(公告)号：US08688417B2
公开(公告)日：2014-04-01
申请号：US13162927
申请日：2011-06-17
申请人： Alex Bocharov , Christopher A. Meek , Bo Thiesson
发明人： Alex Bocharov , Christopher A. Meek , Bo Thiesson
IPC分类号： G06F17/50
CPC分类号： G06F17/18
摘要： In one embodiment, an event impact signature detector may analyze a time series with external events. A data interface 250 may receive a data set 310 representing the time series with external events. A processor 220 may fit the data set 310 into a baseline time series model 330. The processor 220 may iteratively determine each event location 352 for multiple external events 350 affecting the baseline time series model 330. The processor 220 may iteratively solve for each event impact 354 of the multiple external events 350 factoring in interactions between the multiple external events 350.
摘要翻译：在一个实施例中，事件影响签名检测器可以分析具有外部事件的时间序列。数据接口250可以接收表示具有外部事件的时间序列的数据集310。处理器220可以将数据集310拟合到基线时间序列模型330中。处理器220可以迭代地确定影响基线时间序列模型330的多个外部事件350的每个事件位置352.处理器220可以迭代地解决每个事件的影响多个外部事件350之间的354个因素导致多个外部事件之间的交互350。

14. 发明授权

US08356041B2 Phrase builder 有权
标题翻译：短语构建器
公开(公告)号：US08356041B2
公开(公告)日：2013-01-15
申请号：US12140279
申请日：2008-06-17
申请人： Timothy S. Paek , Bongshin Lee , Bo Thiesson
发明人： Timothy S. Paek , Bongshin Lee , Bo Thiesson
IPC分类号： G06F17/00
CPC分类号： G06F3/0482 , G06F17/30401 , G06F17/3064
摘要： Real-time query expansion (RTQE) is a process of supplementing an original query with additional terms or expansion choices that are ranked according to some figure of merit and presented while users are still formulating their queries. Individual terms may be combined and submitted as a phrase into a query. By building the phase term-by-term, users can compositionally formulate queries while maintaining the same benefits that other RTQE interfaces offer. The benefits include, reducing the number of keystrokes and improving retrieval performance. To promote greater flexibility in its working environment, the number of terms that are presented on a display may be reduced. In place of some terms, placeholders may be used and expanded by the user when necessary. This allows phrases to be readily presented on small displays (e.g., hand-held devices).
摘要翻译：实时查询扩展（RTQE）是一个补充原始查询的过程，附加条款或扩展选项根据某些品质因素进行排名，并在用户仍在制定查询时呈现。单独的术语可以组合并作为短语提交到查询中。通过逐步构建阶段，用户可以组合制定查询，同时保持与其他RTQE接口相同的优势。其优点包括减少击键次数和提高检索性能。为了提高其工作环境的灵活性，可以减少在显示器上呈现的术语数量。代替某些术语，必要时可以由用户使用和扩展占位符。这允许在小显示器（例如，手持设备）上容易地呈现短语。

15. 发明授权

US07769804B2 Server side search with multi-word word wheeling and wildcard expansion 有权
标题翻译：服务器端搜索与多字词轮换和通配符扩展
公开(公告)号：US07769804B2
公开(公告)日：2010-08-03
申请号：US11333486
申请日：2006-01-17
申请人： Kenneth W. Church , Timothy D. Sharpe , Bo Thiesson
发明人： Kenneth W. Church , Timothy D. Sharpe , Bo Thiesson
IPC分类号： G06F15/16
CPC分类号： G06F17/3097 , G06F17/273 , G06F17/276 , Y10S707/99935
摘要： The claimed subject matter provides systems and/or methods that expand input data. An interface can obtain input data and a wildcard insertion component can modify the input data to include at least one implicit wildcard inserted at an end of each intended word. Additionally, an expansion component can generate a candidate list of expanded data based at least in part on the input data including the at least one implicit wildcard utilizing a language model that provides likely expansions of wildcards. Further, the expansion component can evaluate the input data at a server side.
摘要翻译：所要求保护的主题提供扩展输入数据的系统和/或方法。接口可以获得输入数据，并且通配符插入组件可以修改输入数据以包括插入每个预期单词末尾的至少一个隐式通配符。此外，扩展组件可以至少部分地基于包括至少一个隐式通配符的输入数据来生成扩展数据的候选列表，该语言模型提供可能扩展通配符的语言模型。此外，扩展组件可以评估服务器端的输入数据。

16. 发明授权

US07596475B2 Efficient gradient computation for conditional Gaussian graphical models 有权
标题翻译：条件高斯图形模型的有效梯度计算
公开(公告)号：US07596475B2
公开(公告)日：2009-09-29
申请号：US11005148
申请日：2004-12-06
申请人： Bo Thiesson , Christopher A. Meek
发明人： Bo Thiesson , Christopher A. Meek
IPC分类号： G06F17/10 , G06F15/18 , G06E3/00
CPC分类号： G06K9/6296
摘要： The subject invention leverages standard probabilistic inference techniques to determine a log-likelihood for a conditional Gaussian graphical model of a data set with at least one continuous variable and with data not observed for at least one of the variables. This provides an efficient means to compute gradients for CG models with continuous variables and incomplete data observations. The subject invention allows gradient-based optimization processes to employ gradients to iteratively adapt parameters of models in order to improve incomplete data log-likelihoods and identify maximum likelihood estimates (MLE) and/or local maxima of the incomplete data log-likelihoods. Conditional Gaussian local gradients along with conditional multinomial local gradients determined by the subject invention can be utilized to facilitate in providing parameter gradients for full conditional Gaussian models.
摘要翻译：本发明利用标准概率推理技术来确定具有至少一个连续变量的数据集的条件高斯图形模型的对数似然，并且对于至少一个变量未观察到数据。这为用于连续变量和不完整数据观察的CG模型计算梯度提供了有效手段。本发明允许基于梯度的优化过程使用梯度来迭代地适应模型的参数，以便改进不完整的数据对数似然性并且识别不完全数据对数似然性的最大似然估计（MLE）和/或局部最大值。条件高斯局部梯度以及由本发明确定的条件多项式局部梯度可以用于促进为全条件高斯模型提供参数梯度。

17. 发明申请

US20070168469A1 Server side search with multi-word word wheeling and wildcard expansion 有权
标题翻译：服务器端搜索与多字词轮换和通配符扩展
公开(公告)号：US20070168469A1
公开(公告)日：2007-07-19
申请号：US11333486
申请日：2006-01-17
申请人： Kenneth Church , Timothy Sharpe , Bo Thiesson
发明人： Kenneth Church , Timothy Sharpe , Bo Thiesson
IPC分类号： G06F15/16
CPC分类号： G06F17/3097 , G06F17/273 , G06F17/276 , Y10S707/99935
摘要： The claimed subject matter provides systems and/or methods that expand input data. An interface can obtain input data and a wildcard insertion component can modify the input data to include at least one implicit wildcard inserted at an end of each intended word. Additionally, an expansion component can generate a candidate list of expanded data based at least in part on the input data including the at least one implicit wildcard utilizing a language model that provides likely expansions of wildcards. Further, the expansion component can evaluate the input data at a server side.
摘要翻译：所要求保护的主题提供扩展输入数据的系统和/或方法。接口可以获得输入数据，并且通配符插入组件可以修改输入数据以包括插入每个预期单词末尾的至少一个隐式通配符。此外，扩展组件可以至少部分地基于包括至少一个隐式通配符的输入数据来生成扩展数据的候选列表，该语言模型提供可能扩展通配符的语言模型。此外，扩展组件可以评估服务器端的输入数据。

18. 发明授权

US07200267B1 Handwriting recognition with mixtures of bayesian networks 有权
标题翻译：手写识别与贝叶斯网络混合
公开(公告)号：US07200267B1
公开(公告)日：2007-04-03
申请号：US11324444
申请日：2005-12-30
申请人： John Bennett , David E. Heckerman , Christopher A. Meek , Bo Thiesson
发明人： John Bennett , David E. Heckerman , Christopher A. Meek , Bo Thiesson
IPC分类号： G06K9/00 , G06K9/62
CPC分类号： G06K9/00422 , G06K9/6296
摘要： The invention performs handwriting recognition using mixtures of Bayesian networks. A mixture of Bayesian networks (MBN) consists of plural hypothesis-specific Bayesian networks (HSBNs) having possibly hidden and observed variables. A common external hidden variable is associated with the MBN, but is not included in any of the HSBNs. Each HSBN models the world under the hypothesis that the common external hidden variable is in a corresponding one of its states. The MBNs encode the probabilities of observing the sets of visual observations corresponding to a handwritten character. Each of the HSBNs encodes the probabilities of observing the sets of visual observations corresponding to a handwritten character and given a hidden common variable being in a particular state.
摘要翻译：本发明使用贝叶斯网络的混合来执行手写识别。贝叶斯网络（MBN）的混合由多个具有隐藏和观察变量的假设特定贝叶斯网络（HSBN）组成。常见的外部隐藏变量与MBN相关联，但不包括在任何HSBN中。每个HSBN在假设下共同的外部隐藏变量处于相应的一个状态的模型中模拟世界。 MBN编码观察对应于手写字符的视觉观察组的概率。每个HSBN编码观察对应于手写字符的视觉观察组的概率，并给出处于特定状态的隐藏的公共变量。

19. 发明授权

US07162489B2 Anomaly detection in data perspectives 有权
标题翻译：数据透视异常检测
公开(公告)号：US07162489B2
公开(公告)日：2007-01-09
申请号：US11299539
申请日：2005-12-12
申请人： Allan Folting , Bo Thiesson , David E. Heckerman , David M. Chickering , Eric Barber Vigesaa
发明人： Allan Folting , Bo Thiesson , David E. Heckerman , David M. Chickering , Eric Barber Vigesaa
IPC分类号： G06F7/00
CPC分类号： G06F17/30592 , G06N7/00 , Y10S707/957 , Y10S707/958 , Y10S707/99943
摘要： The present invention leverages curve fitting data techniques to provide automatic detection of data anomalies in a “data tube” from a data perspective, allowing, for example, detection of data anomalies such as on-screen, drill down, and drill across data anomalies in, for example, pivot tables and/or OLAP cubes. It determines if data substantially deviates from a predicted value established by a curve fitting process such as, for example, a piece-wise linear function applied to the data tube. A threshold value can also be employed by the present invention to facilitate in determining a degree of deviation necessary before a data value is considered anomalous. The threshold value can be supplied dynamically and/or statically by a system and/or a user via a user interface. Additionally, the present invention provides an indication to a user of the type and location of a detected anomaly from a top level data perspective.
摘要翻译：本发明利用曲线拟合数据技术从数据角度提供“数据管”中的数据异常的自动检测，从而允许例如检测诸如屏幕上的数据异常，向下钻取和钻取数据异常的数据异常例如，枢轴表和/或OLAP多维数据集。它确定数据是否基本上偏离由曲线拟合处理（例如应用于数据管的分段线性函数）所建立的预测值。本发明也可以采用阈值，以便在确定数据值被认为是异常之前确定所需的偏差程度。阈值可以由系统和/或用户经由用户界面动态地和/或静态地提供。另外，本发明从顶级数据的角度向用户提供了检测到的异常的类型和位置的指示。

20. 发明申请

US20050288883A1 ANOMALY DETECTION IN DATA PERSPECTIVES 失效
标题翻译：数据视野中的异常检测
公开(公告)号：US20050288883A1
公开(公告)日：2005-12-29
申请号：US10874956
申请日：2004-06-23
申请人： Allan Folting , Bo Thiesson , David Heckerman , David Chickering , Eric Vigesaa
发明人： Allan Folting , Bo Thiesson , David Heckerman , David Chickering , Eric Vigesaa
IPC分类号： G01G23/01 , G06F17/00 , G06F17/18 , G06F17/30 , G06F19/00 , G06N7/00
CPC分类号： G06F17/30592 , G06N7/00 , Y10S707/957 , Y10S707/958 , Y10S707/99943
摘要： The present invention leverages curve fitting data techniques to provide automatic detection of data anomalies in a “data tube” from a data perspective, allowing, for example, detection of data anomalies such as on-screen, drill down, and drill across data anomalies in, for example, pivot tables and/or OLAP cubes. It determines if data substantially deviates from a predicted value established by a curve fitting process such as, for example, a piece-wise linear function applied to the data tube. A threshold value can also be employed by the present invention to facilitate in determining a degree of deviation necessary before a data value is considered anomalous. The threshold value can be supplied dynamically and/or statically by a system and/or a user via a user interface. Additionally, the present invention provides an indication to a user of the type and location of a detected anomaly from a top level data perspective.
摘要翻译：本发明利用曲线拟合数据技术从数据角度提供“数据管”中的数据异常的自动检测，从而允许例如检测诸如屏幕上的数据异常，向下钻取和钻取数据异常的数据异常例如，枢轴表和/或OLAP多维数据集。它确定数据是否基本上偏离由曲线拟合处理（例如应用于数据管的分段线性函数）所建立的预测值。本发明也可以采用阈值，以便在确定数据值被认为是异常之前确定所需的偏差程度。阈值可以由系统和/或用户经由用户界面动态地和/或静态地提供。另外，本发明从顶级数据的角度向用户提供了检测到的异常的类型和位置的指示。

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