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1. 发明授权

US07660705B1 Bayesian approach for learning regression decision graph models and regression models for time series analysis 有权
标题翻译：用于学习回归决策图模型的贝叶斯方法和时间序列分析的回归模型
公开(公告)号：US07660705B1
公开(公告)日：2010-02-09
申请号：US10102116
申请日：2002-03-19
申请人： Christopher A. Meek , David E. Heckerman , Robert L. Rounthwaite , David Maxwell Chickering , Bo Thiesson
发明人： Christopher A. Meek , David E. Heckerman , Robert L. Rounthwaite , David Maxwell Chickering , Bo Thiesson
IPC分类号： G06F17/10
CPC分类号： G06K9/6297
摘要： Methods and systems are disclosed for learning a regression decision graph model using a Bayesian model selection approach. In a disclosed aspect, the model structure and/or model parameters can be learned using a greedy search algorithm applied to grow the model so long as the model improves. This approach enables construction of a decision graph having a model structure that includes a plurality of leaves, at least one of which includes a non-trivial linear regression. The resulting model thus can be employed for forecasting, such as for time series data, which can include single or multi-step forecasting.
摘要翻译：公开了使用贝叶斯模型选择方法学习回归决策图模型的方法和系统。在公开的方面，只要模型改进，可以使用应用于增长模型的贪心搜索算法来学习模型结构和/或模型参数。该方法能够构建具有包括多个叶子的模型结构的决策图，其中至少一个包括非平凡的线性回归。因此，所得到的模型可以用于预测，例如用于时间序列数据，其可以包括单步或多步预测。

2. 发明授权

US06330563B1 Architecture for automated data analysis 有权
标题翻译：自动数据分析架构
公开(公告)号：US06330563B1
公开(公告)日：2001-12-11
申请号：US09298717
申请日：1999-04-23
申请人： David E. Heckerman , D. Maxwell Chickering , Christopher A. Meek , Robert L. Rounthwaite
发明人： David E. Heckerman , D. Maxwell Chickering , Christopher A. Meek , Robert L. Rounthwaite
IPC分类号： G06F1730
CPC分类号： G06N5/025 , G06F17/10 , G06F2216/03 , Y10S707/99935
摘要： An architecture for automated data analysis. In one embodiment, a computerized system comprising an automated problem formulation layer, a first learning engine, and a second learning engine. The automated problem formulation layer receives a data set. The data set has a plurality of records, where each record has a value for each of a plurality of raw transactional variables. The layer abstracts the raw transactional variables into cooked transactional variables. The first learning engine generates a model for the cooked transactional variables, while the second learning engine generates a model for the raw transactional variables.
摘要翻译：用于自动数据分析的架构。在一个实施例中，包括自动化问题制定层，第一学习引擎和第二学习引擎的计算机化系统。自动化问题制定层接收数据集。数据集具有多个记录，其中每个记录具有多个原始事务变量中的每一个的值。该层将原始事务变量抽象为熟的事务变量。第一个学习引擎为煮熟的事务变量生成模型，而第二个学习引擎生成原始事务变量的模型。

3. 发明授权

US06321225B1 Abstracting cooked variables from raw variables 有权
标题翻译：从原始变量抽取熟变量
公开(公告)号：US06321225B1
公开(公告)日：2001-11-20
申请号：US09298598
申请日：1999-04-23
申请人： David E. Heckerman , D. Maxwell Chickering , Christopher A. Meek , Robert L. Rounthwaite
发明人： David E. Heckerman , D. Maxwell Chickering , Christopher A. Meek , Robert L. Rounthwaite
IPC分类号： G06F1730
CPC分类号： G06F17/30539 , Y10S707/99934 , Y10S707/99936 , Y10S707/99942 , Y10S707/99945 , Y10S707/99952
摘要： A method and a system for abstracting cooked variables from raw variables. In one embodiment, a data set that has a plurality of records is input into a system, where each record has a value for each of a plurality of raw transactional variables. These variables are organized into a hierarchy of nodes. The raw transactional variables are abstracted into a lesser number of cooked transactional variables, and the cooked transactional variables are output.
摘要翻译：从原始变量抽取煮熟变量的方法和系统。在一个实施例中，具有多个记录的数据集被输入到系统中，其中每个记录具有多个原始事务变量中的每一个的值。这些变量被组织成节点的层次结构。原始事务变量被抽象为较少数量的熟化事务变量，并且输出熟化的事务变量。

4. 发明授权

US07930353B2 Trees of classifiers for detecting email spam 有权
标题翻译：用于检测电子邮件垃圾邮件的分类树
公开(公告)号：US07930353B2
公开(公告)日：2011-04-19
申请号：US11193691
申请日：2005-07-29
申请人： David M. Chickering , Geoffrey J. Hulten , Robert L. Rounthwaite , Christopher A. Meek , David E. Heckerman , Joshua T. Goodman
发明人： David M. Chickering , Geoffrey J. Hulten , Robert L. Rounthwaite , Christopher A. Meek , David E. Heckerman , Joshua T. Goodman
IPC分类号： G06F15/16
CPC分类号： H04L51/12
摘要： Decision trees populated with classifier models are leveraged to provide enhanced spam detection utilizing separate email classifiers for each feature of an email. This provides a higher probability of spam detection through tailoring of each classifier model to facilitate in more accurately determining spam on a feature-by-feature basis. Classifiers can be constructed based on linear models such as, for example, logistic-regression models and/or support vector machines (SVM) and the like. The classifiers can also be constructed based on decision trees. “Compound features” based on internal and/or external nodes of a decision tree can be utilized to provide linear classifier models as well. Smoothing of the spam detection results can be achieved by utilizing classifier models from other nodes within the decision tree if training data is sparse. This forms a base model for branches of a decision tree that may not have received substantial training data.
摘要翻译：利用分类器模型填充的决策树利用电子邮件的每个功能使用单独的电子邮件分类器来提供增强的垃圾邮件检测。这通过定制每个分类器模型提供了更高的垃圾邮件检测的概率，以便于在逐个特征的基础上更准确地确定垃圾邮件。分类器可以基于诸如逻辑回归模型和/或支持向量机（SVM）等线性模型来构建。分类器也可以基于决策树构建。基于决策树的内部和/或外部节点的“复合特征”也可以用于提供线性分类器模型。垃圾邮件检测结果的平滑可以通过使用来自决策树内的其他节点的分类器模型来实现，如果训练数据是稀疏的。这形成了可能没有接收到大量训练数据的决策树的分支的基本模型。

5. 发明授权

US06519599B1 Visualization of high-dimensional data 有权
标题翻译：高维数据的可视化
公开(公告)号：US06519599B1
公开(公告)日：2003-02-11
申请号：US09517138
申请日：2000-03-02
申请人： D. Maxwell Chickering , David E. Heckerman , Christopher A. Meek , Robert L. Rounthwaite , Amir Netz , Thierry D'Hers
发明人： D. Maxwell Chickering , David E. Heckerman , Christopher A. Meek , Robert L. Rounthwaite , Amir Netz , Thierry D'Hers
IPC分类号： G06F1730
CPC分类号： G06F17/30994 , Y10S707/99945
摘要： Visualization of high-dimensional data sets is disclosed, particularly the display of a network model for a data set. The network, such as a dependency or a Bayesian network, has a number of nodes having dependencies thereamong. The network can be displayed items and connections, corresponding to nodes and dependencies, respectively. Selection of a particular item in one embodiment results in the display of the local distribution associated with the node for the item. In one embodiment, only a predetermined number of the items are shown, such as only the items representing the most popular nodes. Furthermore, in one embodiment, in response to receiving a user input, a sub-set of the connections is displayed, proportional to the user input. In another embodiment, a particular item is displayed in an emphasized manner, and the particular connections representing dependencies including the node represented by the particular item, as well as the items representing nodes also in these dependencies, are also displayed in the emphasized manner. Furthermore, in one embodiment, only an indicated sub-set of the items is displayed.
摘要翻译：公开了高维数据集的可视化，特别是显示数据集的网络模型。诸如依赖关系或贝叶斯网络的网络具有多个具有依赖关系的节点。网络可以分别显示对应于节点和依赖关系的项目和连接。在一个实施例中，特定项目的选择导致与项目的节点相关联的本地分布的显示。在一个实施例中，仅显示预定数量的项目，诸如仅表示最受欢迎节点的项目。此外，在一个实施例中，响应于接收到用户输入，显示与用户输入成比例的连接的子集。在另一个实施例中，以强调方式显示特定项目，并且还以强调的方式显示表示依赖性的特定连接，包括由特定项目表示的节点以及表示节点的项目也在这些依赖关系中。此外，在一个实施例中，仅显示所指示的项目子集。

6. 发明授权

US07953738B2 System and method for visualization of categories 有权
标题翻译：类别可视化的系统和方法
公开(公告)号：US07953738B2
公开(公告)日：2011-05-31
申请号：US10955585
申请日：2004-09-30
申请人： David Maxwell Chickering , Zhaohui Tang , David Earl Heckerman , Robert L. Rounthwaite , Alexei V. Bocharov , Scott Conrad Oveson
发明人： David Maxwell Chickering , Zhaohui Tang , David Earl Heckerman , Robert L. Rounthwaite , Alexei V. Bocharov , Scott Conrad Oveson
IPC分类号： G06F17/30
CPC分类号： G06T11/206 , G06F17/30256 , G06F17/30259 , G06F17/30265 , Y10S707/917 , Y10S707/99945
摘要： Distribution displays for categories are provided which illuminate the distribution of continuous attributes over all cases in a category, and which provide a histogram of the population of the different states of categorical attributes. An array of such displays by attribute (in one dimension) and category (in another dimension) may be provided. Category diagram displays are also provided for visualizing the different categories, and their distributions, populations, and similarities. These are displayed through different shading of nodes and edges representing categories and the relationship between two categories, and through proximity of nodes.
摘要翻译：提供了类别的分布显示，其显示了类别中所有情况下的连续属性的分布，并且提供了分类属性的不同状态的总体的直方图。可以提供由属性（在一个维度）和类别（在另一维度中）的这种显示器的数组。还提供类别图显示，用于可视化不同类别及其分布，人口和相似之处。这些通过不同的节点和边缘的阴影显示，表示类别和两个类别之间的关系，以及通过节点的接近。

7. 发明授权

US09495775B2 System and method for visualization of categories 有权
标题翻译：类别可视化的系统和方法
公开(公告)号：US09495775B2
公开(公告)日：2016-11-15
申请号：US10955738
申请日：2004-09-30
申请人： David Maxwell Chickering , Zhaohui Tang , David Earl Heckerman , Robert L. Rounthwaite , Alexei V. Bocharov , Scott Conrad Oveson
发明人： David Maxwell Chickering , Zhaohui Tang , David Earl Heckerman , Robert L. Rounthwaite , Alexei V. Bocharov , Scott Conrad Oveson
IPC分类号： G06T11/20 , G06F17/30
CPC分类号： G06T11/206 , G06F17/30256 , G06F17/30259 , G06F17/30265 , Y10S707/917 , Y10S707/99945
摘要： Distribution displays for categories are provided which illuminate the distribution of continuous attributes over all cases in a category, and which provide a histogram of the population of the different states of categorical attributes. An array of such displays by attribute (in one dimension) and category (in another dimension) may be provided. Category diagram displays are also provided for visualizing the different categories, and their distributions, populations, and similarities. These are displayed through different shading of nodes and edges representing categories and the relationship between two categories, and through proximity of nodes.
摘要翻译：提供了类别的分布显示，其显示了类别中所有情况下的连续属性的分布，并且提供了分类属性的不同状态的总体的直方图。可以提供由属性（在一个维度）和类别（在另一维度中）的这种显示器的数组。还提供类别图显示，用于可视化不同类别及其分布，人口和相似之处。这些通过不同的节点和边缘的阴影显示，表示类别和两个类别之间的关系，以及通过节点的接近。

8. 发明授权

US07342582B2 System and method for visualization of categories 有权
标题翻译：类别可视化的系统和方法
公开(公告)号：US07342582B2
公开(公告)日：2008-03-11
申请号：US10954743
申请日：2004-09-30
申请人： David Maxwell Chickering , Zhaohui Tang , David Earl Heckerman , Robert L. Rounthwaite , Alexei V. Bocharov , Scott Conrad Oveson
发明人： David Maxwell Chickering , Zhaohui Tang , David Earl Heckerman , Robert L. Rounthwaite , Alexei V. Bocharov , Scott Conrad Oveson
IPC分类号： G06T11/20
CPC分类号： G06T11/206 , G06F17/30256 , G06F17/30259 , G06F17/30265 , Y10S707/917 , Y10S707/99945
摘要： Distribution displays for categories are provided which illuminate the distribution of continuous attributes over all cases in a category, and which provide a histogram of the population of the different states of categorical attributes. An array of such displays by attribute (in one dimension) and category (in another dimension) may be provided. Category diagram displays are also provided for visualizing the different categories, and their distributions, populations, and similarities. These are displayed through different shading of nodes and edges representing categories and the relationship between two categories, and through proximity of nodes.
摘要翻译：提供了类别的分布显示，其显示了类别中所有情况下的连续属性的分布，并且提供了分类属性的不同状态的总体的直方图。可以提供由属性（在一个维度）和类别（在另一维度中）的这种显示器的数组。还提供类别图显示，用于可视化不同类别及其分布，人口和相似之处。这些通过不同的节点和边缘的阴影显示，表示类别和两个类别之间的关系，以及通过节点的接近。

9. 发明授权

US07028036B2 System and method for visualization of continuous attribute values 失效
标题翻译：连续属性值可视化的系统和方法
公开(公告)号：US07028036B2
公开(公告)日：2006-04-11
申请号：US10185081
申请日：2002-06-28
申请人： David Maxwell Chickering , Zhaohui Tang , David Earl Heckerman , Robert L. Rounthwaite , Alexei V. Bocharov , Scott Conrad Oveson
发明人： David Maxwell Chickering , Zhaohui Tang , David Earl Heckerman , Robert L. Rounthwaite , Alexei V. Bocharov , Scott Conrad Oveson
IPC分类号： G06F17/00 , G09G5/22
CPC分类号： G06T11/206 , G06F17/30256 , G06F17/30259 , G06F17/30265 , Y10S707/917 , Y10S707/99945
摘要： Distribution displays for categories are provided which illuminate the distribution of continuous attributes over all cases in a category, and which provide a histogram of the population of the different states of categorical attributes. An array of such displays by attribute (in one dimension) and category (in another dimension) may be provided. Category diagram displays are also provided for visualizing the different categories, and their distributions, populations, and similarities. These are displayed through different shading of nodes and edges representing categories and the relationship between two categories, and through proximity of nodes.
摘要翻译：提供了类别的分布显示，其显示了类别中所有情况下的连续属性的分布，并且提供了分类属性的不同状态的总体的直方图。可以提供由属性（在一个维度）和类别（在另一维度中）的这种显示器的数组。还提供类别图显示，用于可视化不同类别及其分布，人口和相似之处。这些通过不同的节点和边缘的阴影显示，表示类别和两个类别之间的关系，以及通过节点的接近。

10. 发明授权

US07908328B1 Identification of email forwarders 有权
标题翻译：电子邮件转发器的识别
公开(公告)号：US07908328B1
公开(公告)日：2011-03-15
申请号：US11023293
申请日：2004-12-27
申请人： Geoffrey J Hulten , Anthony P. Penta , David Maxwell Chickering , Eliot C. Gillum , Gopalakrishnan Seshadrinathan , Jay T. Buckingham , Joshua T. Goodman , Paul S Rehfuss , Robert L. Rounthwaite , Ryan C Colvin
发明人： Geoffrey J Hulten , Anthony P. Penta , David Maxwell Chickering , Eliot C. Gillum , Gopalakrishnan Seshadrinathan , Jay T. Buckingham , Joshua T. Goodman , Paul S Rehfuss , Robert L. Rounthwaite , Ryan C Colvin
IPC分类号： G06F15/16
CPC分类号： H04L51/12
摘要： Identification of email forwarders is described. In an implementation, a method includes using heuristics to identify email forwarders for use in a reputation system for locating spammers. In another implementation, a method includes determining a likelihood that a particular Internet Protocol (IP) address corresponds to an email forwarder and processing email originating from the particular IP address based on the determined likelihood. In a further implementation, a method includes collecting heuristic data that describes characteristics of emails sent from one or more Internet Protocol (IP) addresses and constructing a model from the heuristic data for identifying whether at least one of the IP address is an email forwarder. In yet a further implementation, a method includes identifying that a particular Internet Protocol (IP) address likely corresponds to an email forwarder and processing email from the particular IP address based on an implied sender of the email.
摘要翻译：描述电子邮件转发器的识别。在一个实现中，一种方法包括使用启发式方法来识别在信誉系统中用于定位垃圾邮件发送者的电子邮件转发器。在另一实施方式中，一种方法包括确定特定因特网协议（IP）地址对应于电子邮件转发器的可能性，以及基于所确定的可能性处理来自该特定IP地址的电子邮件。在另一实现中，一种方法包括收集启发式数据，该启发式数据描述从一个或多个因特网协议（IP）地址发送的电子邮件的特征，并根据启发式数据构建模型，用于识别IP地址中的至少一个是电子邮件转发器。在又一个实现中，一种方法包括识别特定的因特网协议（IP）地址可能对应于电子邮件转发器，并且基于电子邮件的隐含发送者从特定IP地址处理电子邮件。

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