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21. 发明授权

US07184993B2 Systems and methods for tractable variational approximation for interference in decision-graph Bayesian networks 失效
标题翻译：用于决策贝叶斯网络干扰的易变性近似的系统和方法
公开(公告)号：US07184993B2
公开(公告)日：2007-02-27
申请号：US10458166
申请日：2003-06-10
申请人： David E. Heckerman , Christopher A. Meek , David M. Chickering
发明人： David E. Heckerman , Christopher A. Meek , David M. Chickering
IPC分类号： G06F17/00 , G06N5/02
CPC分类号： G06N7/005 , G06N5/04
摘要： The present invention leverages approximations of distributions to provide tractable variational approximations, based on at least one continuous variable, for inference utilization in Bayesian networks where local distributions are decision-graphs. These tractable approximations are employed in lieu of exact inferences that are normally NP-hard to solve. By utilizing Jensen's inequality applied to logarithmic distributions composed of a generalized sum including an introduced arbitrary conditional distribution, a means is acquired to resolve a tightly bound likelihood distribution. The means includes application of Mean-Field Theory, approximations of conditional probability distributions, and/or other means that allow for a tractable variational approximation to be achieved.
摘要翻译：本发明利用分布的近似来提供基于至少一个连续变量的可容易的变分近似，用于在本地分布是决策图的贝叶斯网络中的推理利用。采用这些易于理解的近似来代替通常难以解决的难以确定的精确推论。通过利用应用于由包括引入的任意条件分布的广义和组成的对数分布的Jensen不等式，获取用于解决紧密约束似然分布的手段。该方法包括平均场理论的应用，条件概率分布的近似，和/或允许实现易处理变分近似的其他方式。

22. 发明授权

US06216134B1 Method and system for visualization of clusters and classifications 失效
标题翻译：集群和分类可视化的方法和系统
公开(公告)号：US06216134B1
公开(公告)日：2001-04-10
申请号：US09104751
申请日：1998-06-25
申请人： David E. Heckerman , David Maxwell Chickering , Usama M. Fayyad , Christopher A. Meek
发明人： David E. Heckerman , David Maxwell Chickering , Usama M. Fayyad , Christopher A. Meek
IPC分类号： G06F1730
CPC分类号： G06F17/30713 , G06Q30/0643 , Y10S707/956 , Y10S707/99934 , Y10S707/99935 , Y10S707/99944 , Y10S707/99945
摘要： A system that provides for the graphic visualization of the categories of a collection of records. The graphic visualization is referred to as “category graph.” The system optionally displays the category graph as a “similarity graph” or a “hierarchical map.” When displaying a category graph, the system displays a graphic representation of each category. The system displays the category graph as a similarity graph or a hierarchical map in a way that visually illustrates the similarity between categories. The display of a category graph allows a data analyst to better understand the similarity and dissimilarity between categories. A similarity graph includes a node for each category and an arc connecting nodes representing categories whose similarity is above a threshold. A hierarchical map is a tree structure that includes a node for each base category along with nodes representing combinations of similar categories.
摘要翻译：提供记录集合的类别的图形可视化的系统。图形可视化被称为“类别图”。系统可选地将类别图显示为“相似图”或“分层图”。当显示类别图时，系统显示每个类别的图形表示。系统以类似的方式显示类别图作为相似图或分层图，以视觉方式显示类别之间的相似性。类别图的显示允许数据分析人员更好地了解类别之间的相似性和不相似性。相似图包括用于每个类别的节点和连接表示相似度高于阈值的类别的节点的弧。层次映射是树结构，其包括每个基本类别的节点以及表示类似类别的组合的节点。

23. 发明授权

US07454705B2 Cluster-based visualization of user traffic on an internet site 失效
标题翻译：互联网网站上用户流量的基于群集的可视化
公开(公告)号：US07454705B2
公开(公告)日：2008-11-18
申请号：US10829548
申请日：2004-04-22
申请人： Igor Cadez , David E. Heckerman , Christopher A. Meek , Steven J. White
发明人： Igor Cadez , David E. Heckerman , Christopher A. Meek , Steven J. White
IPC分类号： G06F3/00 , G06F15/173 , G06F7/00
CPC分类号： H04L67/22 , H04L41/0893 , H04L41/22 , Y10S707/99937
摘要： Visualizing Internet web traffic is disclosed. In one embodiment, a number of windows are displayed, corresponding to a number of clusters into which users have been partitioned based on similar web browsing behavior. The windows are ordered from the cluster having the greatest number of users to the cluster having the least number of users. Each window has one or more rows, where each row corresponds to a user within the cluster. Each row has an ordered number of visible units, such as blocks, where each block corresponds to a web page visited by the user. The blocks can be color coded by the type of web page they represent. In one embodiment, the corresponding cluster models for the clusters are alternatively displayed in the windows.
摘要翻译：透露互联网流量的可视化。在一个实施例中，根据类似的网页浏览行为，显示对应于用户已被划分到其中的多个群集的多个窗口。 Windows从具有最多用户数量的群集排队到具有最少用户数量的群集。每个窗口都有一行或多行，其中每行对应于群集内的用户。每行都有一个有序数量的可见单元，例如块，每个块对应于用户访问的网页。这些块可以通过它们所代表的网页的类型进行颜色编码。在一个实施例中，用于集群的对应的集群模型交替地显示在窗口中。

24. 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。

25. 发明授权

US08478535B2 Systems and methods that utilize machine learning algorithms to facilitate assembly of aids vaccine cocktails 有权
标题翻译：利用机器学习算法方便装配疫苗鸡尾酒的系统和方法
公开(公告)号：US08478535B2
公开(公告)日：2013-07-02
申请号：US11324506
申请日：2005-12-30
申请人： Nebojsa Jojic , Vladimir Jojic , David E. Heckerman , Brendan John Frey , Christopher A. Meek
发明人： Nebojsa Jojic , Vladimir Jojic , David E. Heckerman , Brendan John Frey , Christopher A. Meek
IPC分类号： G01N33/50
CPC分类号： G06F19/22 , G06F19/14 , G06F19/18 , G06F19/24 , G06G7/48 , G06G7/58
摘要： The subject invention provides systems and methods that facilitate AIDS vaccine cocktail assembly via machine learning algorithms such as a cost function, a greedy algorithm, an expectation-maximization (EM) algorithm, etc. Such assembly can be utilized to generate vaccine cocktails for species of pathogens that evolve quickly under immune pressure of the host. For example, the systems and methods of the subject invention can be utilized to facilitate design of T cell vaccines for pathogens such HIV. In addition, the systems and methods of the subject invention can be utilized in connection with other applications, such as, for example, sequence alignment, motif discovery, classification, and recombination hot spot detection. The novel techniques described herein can provide for improvements over traditional approaches to designing vaccines by constructing vaccine cocktails with higher epitope coverage, for example, in comparison with cocktails of consensi, tree nodes and random strains from data.
摘要翻译：本发明提供了通过诸如成本函数，贪心算法，期望最大化（EM）算法等机器学习算法来促进艾滋病疫苗鸡尾酒组合的系统和方法。可以利用这种装配来产生疫苗鸡尾酒，在宿主免疫压力下快速发展的病原体。例如，本发明的系统和方法可以用于促进用于诸如HIV的病原体的T细胞疫苗的设计。此外，本发明的系统和方法可以与其他应用相结合使用，例如序列比对，基序发现，分类和重组热点检测。本文所述的新颖技术可以提供改进，以通过构建具有较高表位覆盖度的疫苗混合物来设计疫苗的传统方法，例如与来自数据的共同体，树节点和随机菌株的鸡尾酒相比。

26. 发明授权

US07689458B2 Systems and methods for determining bid value for content items to be placed on a rendered page 有权
标题翻译：确定要放置在呈现页面上的内容项目的出价值的系统和方法
公开(公告)号：US07689458B2
公开(公告)日：2010-03-30
申请号：US10977824
申请日：2004-10-29
申请人： David E. Heckerman , David M. Chickering , Christopher A. Meek , Brian Burdick , Li Li , Murali Vajjiravel , Ying Li , Rajeev Prasad , Raxit A. Kagalwala , Tarek Najm , Sachin Dhawan
发明人： David E. Heckerman , David M. Chickering , Christopher A. Meek , 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。

27. 发明授权

US06771289B1 Cluster-based visualization of user traffic on an internet site 失效
标题翻译：互联网网站上用户流量的基于群集的可视化
公开(公告)号：US06771289B1
公开(公告)日：2004-08-03
申请号：US09517462
申请日：2000-03-02
申请人： Igor Cadez , David E. Heckerman , Christopher A. Meek , Steven J. White
发明人： Igor Cadez , David E. Heckerman , Christopher A. Meek , Steven J. White
IPC分类号： G06F314
CPC分类号： H04L67/22 , H04L41/0893 , H04L41/22 , Y10S707/99937
摘要： Visualizing Internet web traffic is disclosed. In one embodiment, a number of windows are displayed, corresponding to a number of clusters into which users have been partitioned based on similar web browsing behavior. The windows are ordered from the cluster having the greatest number of users to the cluster having the least number of users. Each window has one or more rows, where each row corresponds to a user within the cluster. Each row has an ordered number of visible units, such as blocks, where each block corresponds to a web page visited by the user. The blocks can be color coded by the type of web page they represent. In one embodiment, the corresponding cluster models for the clusters are alternatively displayed in the windows.
摘要翻译：透露互联网流量的可视化。在一个实施例中，根据类似的网页浏览行为，显示对应于用户已被划分到的群集的数量的多个窗口。 Windows从具有最多用户数量的群集排队到具有最少用户数量的群集。每个窗口都有一行或多行，其中每行对应于群集内的用户。每行都有一个有序数量的可见单元，例如块，其中每个块对应于用户访问的网页。这些块可以通过它们所代表的网页的类型进行颜色编码。在一个实施例中，用于集群的对应的集群模型交替地显示在窗口中。

28. 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。

29. 发明授权

US08182424B2 Diary-free calorimeter 有权
标题翻译：无日记热量计
公开(公告)号：US08182424B2
公开(公告)日：2012-05-22
申请号：US12051431
申请日：2008-03-19
申请人： David E. Heckerman
发明人： David E. Heckerman
IPC分类号： A61B5/00
CPC分类号： A61B5/0002 , A61B5/02055 , A61B5/02438 , A61B5/0531 , A61B5/11 , A61B5/1112 , A61B5/222 , A61B5/4866 , A61B5/681 , A61B5/7267 , A61B2503/10 , G06F19/00 , G06F19/3475 , G06F19/3481 , G16H40/63 , G16H50/50
摘要： An indirect calorimeter estimates nutritional caloric intake by periodically monitoring weight and sensing physical exercise (i.e., physiological data and/or motion data related to physical exertion), which can then be used in a calorimetry model derived from regression analysis of a population (e.g., linear regression, feed-forward neural network, Gaussian process, boosted regression tree, etc.). A strap-on user device for tracking exercise can detect one or more of heart rate, body temperature, skin resistance, motion/acceleration sensing (e.g., pedometer, accelerometer), velocity sensing (e.g., global positioning system (GPS)), and an intelligent, integrated exercise machine (e.g., treadmill, exercise bike, etc.). To gain further fidelity, the user can fine-tune the estimate by undergoing a journal-based routine for a relatively short period of time or clinical calorimetry measurement (e.g., respiratory calorimeter), thereby providing a baseline for resting or exercising metabolic rate.
摘要翻译：间接热量计通过定期监测体重和感测身体运动（即与身体运动相关的生理数据和/或运动数据）来估计营养热量摄入量，然后可用于从人口回归分析得出的量热法模型（例如，线性回归，前馈神经网络，高斯过程，提升回归树等）。用于跟踪运动的绑带用户设备可以检测心率，体温，皮肤电阻，运动/加速度感测（例如，计步器，加速度计），速度感测（例如，全球定位系统（GPS））中的一个或多个，以及一个智能的综合运动器材（如跑步机，运动自行车等）。为了获得进一步的保真度，用户可以通过在相对短的时间段内进行基于日志的例程或临床量热测量（例如，呼吸量热计）来微调估计，由此提供用于休息或行使代谢率的基线。

30. 发明授权

US08050870B2 Identifying associations using graphical models 有权
标题翻译：使用图形模型识别关联
公开(公告)号：US08050870B2
公开(公告)日：2011-11-01
申请号：US11622895
申请日：2007-01-12
申请人： David E. Heckerman , Jonathan M. Carlson , Carl M. Kadie
发明人： David E. Heckerman , Jonathan M. Carlson , Carl M. Kadie
IPC分类号： G01N33/48 , G06F19/14 , G06F19/00
CPC分类号： G06F19/14
摘要： Statistical models for identifying associations are described herein. By way of example, a system for identifying associations between variables can include a model builder and an association identifier. The model builder can receive observations about the variables and generate a null model and a non-null model. The association identifier can assess the strength of the association between the variables by determining how much the non-null model better explains the observed data than the null model. Additionally or alternatively, the structure of the observed data can be inferred simultaneously with the statistical model.
摘要翻译：本文描述了用于识别关联的统计模型。作为示例，用于识别变量之间的关联的系统可以包括模型构建器和关联标识符。模型构建器可以接收关于变量的观察结果，并生成空模型和非空模型。关联标识符可以通过确定非空模型比空模型更好地解释观察到的数据，来评估变量之间关联的强度。另外或替代地，观察数据的结构可以与统计模型同时推断。

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