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41. 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。

42. 发明授权

US6161130A Technique which utilizes a probabilistic classifier to detect "junk" e-mail by automatically updating a training and re-training the classifier based on the updated training set 失效
标题翻译：利用概率分类器通过自动更新训练集并基于更新的训练集来重新训练分类器来检测“垃圾”电子邮件的技术
公开(公告)号：US6161130A
公开(公告)日：2000-12-12
申请号：US102837
申请日：1998-06-23
申请人： Eric Horvitz , David E. Heckerman , Susan T. Dumais , Mehran Sahami , John C. Platt
发明人： Eric Horvitz , David E. Heckerman , Susan T. Dumais , Mehran Sahami , John C. Platt
IPC分类号： G06F17/30 , G06K9/62 , G06Q10/10 , H04L12/58 , G06F15/16 , G06F15/173
CPC分类号： G06F17/30707 , G06K9/6269 , G06Q10/107 , H04L51/12 , Y10S707/99935 , Y10S707/99936
摘要： A technique, specifically a method and apparatus that implements the method, which through a probabilistic classifier (370) and, for a given recipient, detects electronic mail (e-mail) messages, in an incoming message stream, which that recipient is likely to consider "junk". Specifically, the invention discriminates message content for that recipient, through a probabilistic classifier (e.g., a support vector machine) trained on prior content classifications. Through a resulting quantitative probability measure, i.e., an output confidence level, produced by the classifier for each message and subsequently compared against a predefined threshold, that message is classified as either, e.g., spam or legitimate mail, and, e.g., then stored in a corresponding folder (223, 227) for subsequent retrieval by and display to the recipient. Based on the probability measure, the message can alternatively be classified into one of a number of different folders, depicted in a pre-defined visually distinctive manner or simply discarded in its entirety.
摘要翻译：一种实现该方法的技术，特别是一种方法和装置，其通过概率分类器（370）以及对于给定的接收者在接收到的消息流中检测电子邮件（电子邮件）消息，该接收者可能考虑“垃圾”。具体地，本发明通过在先前内容分类上训练的概率分类器（例如，支持向量机）来区分该接收者的消息内容。通过由每个消息的分类器产生的随后与预定阈值进行比较的结果定量概率测度，即输出置信水平，该消息被分类为例如垃圾邮件或合法邮件，并且例如存储在相应的文件夹（223,227），用于随后由接收者检索和显示。基于概率测量，该消息可替代地被分类为多个不同文件夹中的一个，以预先定义的视觉区别方式描绘，或者完全被丢弃。

43. 发明授权

US5704018A Generating improved belief networks 失效
标题翻译：产生改进的信念网络
公开(公告)号：US5704018A
公开(公告)日：1997-12-30
申请号：US240019
申请日：1994-05-09
申请人： David E. Heckerman , Dan Geiger , David M. Chickering
发明人： David E. Heckerman , Dan Geiger , David M. Chickering
IPC分类号： G06N5/02 , G06F15/18
CPC分类号： G06N5/022
摘要： An improved belief network generator is provided. In a preferred embodiment of the present invention, a belief network is generated utilizing expert knowledge retrieved from an expert in a given field of expertise and empirical data reflecting observations made in the given field of the expert. In addition to utilizing expert knowledge and empirical data, the belief network generator of the preferred embodiment provides for the use of continuous variables in the generated belief network and missing data in the empirical data.
摘要翻译：提供了一种改进的信任网络生成器。在本发明的一个优选实施例中，利用从专家专家获取的专家知识和反映在专家给定领域中所作出的观察的经验数据产生信念网络。除了利用专家知识和经验数据之外，优选实施例的信念网络生成器还提供了所生成的信念网络中的连续变量的使用以及经验数据中的丢失数据。

44. 发明授权

US08533270B2 Advanced spam detection techniques 有权
标题翻译：高级垃圾邮件检测技术
公开(公告)号：US08533270B2
公开(公告)日：2013-09-10
申请号：US10601741
申请日：2003-06-23
申请人： Bryan T. Starbuck , Robert L. Rounthwaite , David E. Heckerman , Joshua T. Goodman , Eliot C. Gillum , Nathan D. Howell , Kenneth R. Aldinger
发明人： Bryan T. Starbuck , Robert L. Rounthwaite , David E. Heckerman , Joshua T. Goodman , Eliot C. Gillum , Nathan D. Howell , Kenneth R. Aldinger
IPC分类号： G06F15/16
CPC分类号： G06F17/3061 , G06Q10/107 , H04L51/12
摘要： The subject invention provides for an advanced and robust system and method that facilitates detecting spam. The system and method include components as well as other operations which enhance or promote finding characteristics that are difficult or the spammer to avoid and finding characteristics in non-spam that are difficult for spammers to duplicate. Exemplary characteristics include examining origination features in pairs, analyzing character and/or number sequences, strings, and sub-strings, detecting various entropy levels of one or more character sequences, strings and/or sub-strings as well as analyzing message and/or feature sizes.
摘要翻译：本发明提供了一种便于检测垃圾邮件的先进且健壮的系统和方法。该系统和方法包括增强或促进发现难以避免的特征或垃圾邮件发送者避免并且发现垃圾邮件发送者难以复制的非垃圾邮件特性的其他操作。示例性特征包括成对检查起始特征，分析字符和/或数字序列，字符串和子串，检测一个或多个字符序列，字符串和/或子串的各种熵级，以及分析消息和/或特征尺寸。

45. 发明授权

US08065345B2 Visualization as input mechanism 有权
标题翻译：可视化为输入机制
公开(公告)号：US08065345B2
公开(公告)日：2011-11-22
申请号：US12365834
申请日：2009-02-04
申请人： George G. Robertson , Jason D. Carlson , Brian Scott Ruble , Sean Michael Boon , Jakob Peter Nielsen , David E. Heckerman , Joshua W. Lee , Christian Bernd Schormann , Barry James Givens
发明人： George G. Robertson , Jason D. Carlson , Brian Scott Ruble , Sean Michael Boon , Jakob Peter Nielsen , David E. Heckerman , Joshua W. Lee , Christian Bernd Schormann , Barry James Givens
IPC分类号： G06F17/30
CPC分类号： H04L63/0861 , G06F17/30389 , G06F21/316 , G06F21/32 , G06F2221/2101
摘要： A visualization input system is provided. The system includes a visualization component that receives input gestures from a user (or users) and translates the gestures into one or more data manipulation commands. A distribution component receives the data manipulation commands and propagates data modifications across one or more databases in view of the commands. This includes a rights component that enables the data modifications to be implemented across the one or more databases.
摘要翻译：提供可视化输入系统。该系统包括从用户（或用户）接收输入手势并将手势转换成一个或多个数据操作命令的可视化组件。分发组件接收数据操作命令，并根据命令在一个或多个数据库之间传播数据修改。这包括允许在一个或多个数据库中实现数据修改的权限组件。

46. 发明授权

US07983959B2 Systems and methods for estimating placement positions of content items on a rendered page 有权
标题翻译：用于估计呈现页面上的内容项目的展示位置的系统和方法
公开(公告)号：US07983959B2
公开(公告)日：2011-07-19
申请号：US11000243
申请日：2004-11-30
申请人： David M. Chickering , Christopher A. Meek , David E. Heckerman , Brian Burdick , Li Li , Murali Vajjiravel , Ying Li , Rajeev Prasad , Raxit A. Kagalwala , Tarek Najm , Sachin Dhawan
发明人： David M. Chickering , Christopher A. Meek , David E. Heckerman , Brian Burdick , Li Li , Murali Vajjiravel , Ying Li , Rajeev Prasad , Raxit A. Kagalwala , Tarek Najm , Sachin Dhawan
IPC分类号： G06Q30/00
CPC分类号： G06Q30/02 , G06Q30/0241 , G06Q30/0247 , G06Q30/0256 , G06Q30/0601 , G06Q30/08 , G06Q40/04
摘要： Systems and methods for determining the value of bids placed by content providers for placement positions on a page, e.g., a web page, rendered according to a given context, for instance, the search results listing for a particular query initiated on a search engine web site, are provided. Additionally, systems and methods are provided for determining placement of content items, e.g., advertisements and/or images, on a rendered page relative to other content items on the page based upon bid value.
摘要翻译：用于确定由内容提供商针对在给定上下文呈现的页面（例如，网页）上的放置位置的出价的价值的系统和方法，例如在搜索引擎网络上发起的特定查询的搜索结果列表现场提供。此外，提供了系统和方法，用于基于出价值，在相对于页面上的其他内容项目的呈现页面上确定内容项目（例如广告和/或图像）的放置。

47. 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。

48. 发明授权

US07617010B2 Detecting instabilities in time series forecasting 有权
标题翻译：检测时间序列预测中的不稳定性
公开(公告)号：US07617010B2
公开(公告)日：2009-11-10
申请号：US11319894
申请日：2005-12-28
申请人： Alexei V. Bocharov , David M. Chickering , David E. Heckerman
发明人： Alexei V. Bocharov , David M. Chickering , David E. Heckerman
IPC分类号： G05B13/02
CPC分类号： G06F17/30539
摘要： A predictive model analysis system comprises a receiver component that receives predictive samples created by way of forward sampling. An analysis component analyzes a plurality of the received predictive samples and automatically determines whether a predictive model is reliable at a time range associated with the plurality of predictive sample, wherein the determination is made based at least in part upon an estimated norm associated with a forward sampling operator.
摘要翻译：预测模型分析系统包括接收器组件，其接收通过前向采样创建的预测样本。分析组件分析多个接收到的预测样本，并且在与所述多个预测样本相关联的时间范围内自动确定预测模型是否可靠，其中所述确定至少部分地基于与前向相关联的估计范数抽样运算符。

49. 发明授权

US07562064B1 Automated web-based targeted advertising with quotas 有权
标题翻译：自动化基于网络的定向广告配额
公开(公告)号：US07562064B1
公开(公告)日：2009-07-14
申请号：US11464402
申请日：2006-08-14
申请人： David Maxwell Chickering , David E. Heckerman
发明人： David Maxwell Chickering , David E. Heckerman
IPC分类号： G06F15/00
CPC分类号： G06Q30/00 , G06Q30/0269 , G06Q30/0273 , G06Q30/0277
摘要： The invention provides systems and methods that can be used for targeted advertising. The system determines where to present impressions, such as advertisements, to maximize an expected utility subject to one or more constraints, which can include quotas and minimum utilities for groups of one or more impression. The traditional measure of utility in web-based advertising is click-though rates, but the present invention provides a broader definition of utility, including measures of sales, profits, or brand awareness, for example. This broader definition permits advertisements to be allocated more in accordance with the actual interests of advertisers.
摘要翻译：本发明提供了可用于有针对性的广告的系统和方法。该系统确定在何处呈现印象，例如广告，以最大限度地利用一个或多个约束的期望效用，其中可以包括一个或多个印象的组的配额和最小实用程序。基于网络广告的传统效用测度是点击率，但本发明提供了更广泛的效用定义，例如销售，利润或品牌知名度等。这种更广泛的定义允许根据广告商的实际利益更多地分配广告。

50. 发明申请

US20090106172A1 FALSE DISCOVERY RATE FOR GRAPHICAL MODLES 失效
标题翻译：图形模型的虚拟发现率
公开(公告)号：US20090106172A1
公开(公告)日：2009-04-23
申请号：US11873440
申请日：2007-10-17
申请人： David E. Heckerman , Jennifer Listgarten , Carl M. Kadie
发明人： David E. Heckerman , Jennifer Listgarten , Carl M. Kadie
IPC分类号： G06F15/18
CPC分类号： G06N7/005
摘要： The claimed subject matter provides systems and/or methods that determines a number of non-spurious arcs associated with a learned graphical model. The system can include devices and mechanisms that utilize learning algorithms and datasets to generate learned graphical models and graphical models associated with null permutations of the datasets, ascertaining the average number of arcs associated with the graphical models associated with null permutations of the datasets, enumerating the total number of arcs affiliated with the learned graphical model, and presenting a ratio of the average number of arcs to the total number of arcs, the ratio indicative of the number of non-spurious arcs associated the learned graphical model.
摘要翻译：所要求保护的主题提供确定与学习的图形模型相关联的多个非虚假弧的系统和/或方法。该系统可以包括利用学习算法和数据集来生成学习图形模型和与数据集的零排列相关联的图形模型的装置和机制，确定与与数据集的零排列相关联的图形模型相关联的平均弧数，列举与所学习的图形模型相关联的弧的总数，并且呈现平均弧数与总弧数的比率，该比率表示与所学习的图形模型相关联的非虚假弧的数量。

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