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21. 发明授权

US07246048B2 Determining near-optimal block size for incremental-type expectation maximization (EM) algorithms 有权
标题翻译：确定增量型期望最大化（EM）算法的近似最优块大小
公开(公告)号：US07246048B2
公开(公告)日：2007-07-17
申请号：US11177734
申请日：2005-07-08
申请人： Bo Thiesson , Christopher A. Meek , David E. Heckerman
发明人： Bo Thiesson , Christopher A. Meek , David E. Heckerman
IPC分类号： G06F7/60
CPC分类号： G06K9/6226 , G06F17/10 , G06F17/18 , Y10S707/99942
摘要： Determining the near-optimal block size for incremental-type expectation maximization (EM) algorithms is disclosed. Block size is determined based on the novel insight that the speed increase resulting from using an incremental-type EM algorithm as opposed to the standard EM algorithm is roughly the same for a given range of block sizes. Furthermore, this block size can be determined by an initial version of the EM algorithm that does not reach convergence. For a current block size, the speed increase is determined, and if the speed increase is the greatest determined so far, the current block size is set as the target block size. This process is repeated for new block sizes, until no new block sizes can be determined.
摘要翻译：公开了确定增量型期望最大化（EM）算法的近似最小块大小。基于新的认识来确定块大小，即对于给定的块大小范围，使用增量型EM算法而不是标准EM算法导致的速度增加大致相同。此外，该块大小可以由未达到收敛的EM算法的初始版本来确定。对于当前块大小，确定速度增加，并且如果到目前为止确定的速度增加最大，则将当前块大小设置为目标块大小。对于新的块大小重复此过程，直到不能确定新的块大小。

22. 发明授权

US06742003B2 Apparatus and accompanying methods for visualizing clusters of data and hierarchical cluster classifications 有权
标题翻译：用于可视化数据集群和分级集群分类的装置和相关方法
公开(公告)号：US06742003B2
公开(公告)日：2004-05-25
申请号：US09845151
申请日：2001-04-30
申请人： David E. Heckerman , Paul S. Bradley , David M. Chickering , Christopher A. Meek
发明人： David E. Heckerman , Paul S. Bradley , David M. Chickering , Christopher A. Meek
IPC分类号： G06F1730
CPC分类号： G06Q30/0641 , G06F17/30713 , Y10S707/99934 , Y10S707/99935 , Y10S707/99936 , Y10S707/99942 , Y10S707/99944 , Y10S707/99945 , Y10S707/99948
摘要： A system that incorporates an interactive graphical user interface for visualizing clusters (categories) and segments (summarized clusters) of data. Specifically, the system automatically categorizes incoming case data into clusters, summarizes those clusters into segments, determines similarity measures for the segments, scores the selected segments through the similarity measures, and then forms and visually depicts hierarchical organizations of those selected clusters. The system also automatically and dynamically reduces, as necessary, a depth of the hierarchical organization, through elimination of unnecessary hierarchical levels and inter-nodal links, based on similarity measures of segments or segment groups. Attribute/value data that tends to meaningfully characterize each segment is also scored, rank ordered based on normalized scores, and then graphically displayed. The system permits a user to browse through the hierarchy, and, to readily comprehend segment inter-relationships, selectively expand and contract the displayed hierarchy, as desired, as well as to compare two selected segments or segment groups together and graphically display the results of that comparison. An alternative discriminant-based cluster scoring technique is also presented.
摘要翻译：一个包含交互式图形用户界面的系统，用于可视化数据的集群（类别）和分段（聚合集群）。具体来说，系统将传入的病例数据自动分类为群集，将这些群集合成段，确定段的相似性度量，通过相似性度量对所选段进行分类，然后形成并可视地描绘这些群集的层次结构。基于片段或段组的相似性度量，系统还可以根据需要自动和动态地减少层次组织的深度，通过消除不必要的层级和节点间链接。倾向于对每个段进行有意义表征的属性/值数据也被划分，基于归一化分数进行排序，然后以图形方式显示。该系统允许用户浏览层次结构，并且为了容易地理解分段相互关系，根据需要选择性地扩展和收缩所显示的层次结构，以及将两个选定的分段或分段组进行比较，并以图形方式显示那个比较。还提出了一种替代的基于判别式的聚类评分技术。

23. 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。

24. 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。

25. 发明授权

US07225200B2 Automatic data perspective generation for a target variable 有权
标题翻译：为目标变量生成自动数据透视图
公开(公告)号：US07225200B2
公开(公告)日：2007-05-29
申请号：US10824108
申请日：2004-04-14
申请人： David M. Chickering , Bo Thiesson , Carl M. Kadie , David E. Heckerman , Christopher A. Meek , Allan Folting , Eric B. Vigesaa
发明人： David M. Chickering , Bo Thiesson , Carl M. Kadie , David E. Heckerman , Christopher A. Meek , Allan Folting , Eric B. Vigesaa
IPC分类号： G06F17/00 , G06F7/00
CPC分类号： G06F17/30592 , G06F2216/03 , Y10S707/99936 , Y10S707/99943
摘要： The present invention leverages machine learning techniques to provide automatic generation of conditioning variables for constructing a data perspective for a given target variable. The present invention determines and analyzes the best target variable predictors for a given target variable, employing them to facilitate the conveying of information about the target variable to a user. It automatically discretizes continuous and discrete variables utilized as target variable predictors to establish their granularity. In other instances of the present invention, a complexity and/or utility parameter can be specified to facilitate generation of the data perspective via analyzing a best target variable predictor versus the complexity of the conditioning variable(s) and/or utility. The present invention can also adjust the conditioning variables (i.e., target variable predictors) of the data perspective to provide an optimum view and/or accept control inputs from a user to guide/control the generation of the data perspective.
摘要翻译：本发明利用机器学习技术来提供用于为给定目标变量构建数据透视图的自动生成调节变量。本发明确定和分析给定目标变量的最佳目标变量预测变量，使用它们来促进向用户传达关于目标变量的信息。它自动离散化用作目标变量预测变量的连续和离散变量以确定其粒度。在本发明的其他实例中，可以规定复杂性和/或效用参数，以通过分析最佳目标变量预测器与调节变量和/或效用的复杂性来促进数据透视的产生。本发明还可以调整数据透视图的调节变量（即，目标变量预测器），以提供最佳视图和/或接受来自用户的控制输入以指导/控制数据视角的产生。

26. 发明授权

US07133811B2 Staged mixture modeling 有权
标题翻译：分阶段混合建模
公开(公告)号：US07133811B2
公开(公告)日：2006-11-07
申请号：US10270914
申请日：2002-10-15
申请人： Bo Thiesson , Christopher A. Meek , David E. Heckerman
发明人： Bo Thiesson , Christopher A. Meek , David E. Heckerman
IPC分类号： G06F17/10
CPC分类号： G06K9/6226 , G06F17/18 , Y10S707/99935 , Y10S707/99936 , Y10S707/99942
摘要： A system and method for generating staged mixture model(s) is provided. The staged mixture model includes a plurality of mixture components each having an associated mixture weight, and, an added mixture component having an initial structure, parameters and associated mixture weight. The added mixture component is modified based, at least in part, upon a case that is undesirably addressed by the plurality of mixture components using a structural expectation maximization (SEM) algorithm to modify at the structure, parameters and/or associated mixture weight of the added mixture component.The staged mixture model employs a data-driven staged mixture modeling technique, for example, for building density, regression, and classification model(s). The basic approach is to add mixture component(s) (e.g., sequentially) to the staged mixture model using an SEM algorithm.
摘要翻译：提供了一种用于生成分段混合模型的系统和方法。分级混合物模型包括各自具有相关混合物重量的多种混合物组分，以及具有初始结构，参数和相关混合物重量的添加的混合物组分。至少部分地，添加的混合物组分基于使用结构期望最大化（SEM）算法不期望地由多个混合物组分解决的情况进行修饰，以在结构，参数和/或相关联的混合物重量加入的混合物组分。分级混合模型采用数据驱动的分段混合建模技术，例如建筑密度，回归和分类模型。基本方法是使用SEM算法将混合物组分（例如，顺序地）添加到分级混合物模型中。

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

US09283476B2 Information collection during game play 有权
标题翻译：在游戏中收集信息
公开(公告)号：US09283476B2
公开(公告)日：2016-03-15
申请号：US11843468
申请日：2007-08-22
申请人： Anton Mityagin , Aparna Lakshmiratan , Asela J. Gunawardana , Christopher A. Meek , David M. Chickering , Paul N. Bennett , Timothy S. Paek
发明人： Anton Mityagin , Aparna Lakshmiratan , Asela J. Gunawardana , Christopher A. Meek , David M. Chickering , Paul N. Bennett , Timothy S. Paek
IPC分类号： G06F17/00 , A63F13/30 , G06Q10/10 , G06Q30/02
CPC分类号： A63F13/798 , A63F13/12 , A63F13/23 , A63F13/33 , A63F13/46 , A63F13/75 , A63F13/85 , A63F2300/558 , A63F2300/5586 , G06Q10/10 , G06Q30/02 , G07F17/3225 , G07F17/3244
摘要： Systems and methods allow an on-line game to extract information relevant to a specific need of a game platform or service platform. The specific need relates to management and use of digital content, and is addressed by designing and playing an on-line collaborative game. The rules of the game intend to solve a specific task dictated by the specific need. Players' responses to the game generate a wealth of information related to a specific task objective, such as ranking, sorting, and evaluating a set of digital content items. To compel participation in a game, players can be rewarded with monetary value rewards. As a game illustration, an image selection game (ISG) that exploits human contextual inference is described in detail. The information extracted from ISG is a list of key-image associations, relevant for the task of image sorting and ranking.
摘要翻译：系统和方法允许在线游戏提取与游戏平台或服务平台的特定需要相关的信息。具体需要涉及数字内容的管理和使用，并通过设计和播放在线协作游戏来解决。游戏规则旨在解决具体需求所指定的特定任务。玩家对游戏的反应产生与特定任务目标相关的大量信息，例如排序，排序和评估一组数字内容项目。为了强制参与游戏，玩家可以奖励货币价值奖励。作为游戏说明，详细描述了利用人类背景推理的图像选择游戏（ISG）。从ISG提取的信息是与图像排序和排序任务相关的关键图像关联的列表。

29. 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。

30. 发明授权

US08589233B2 Arbitrage broker for online advertising exchange 有权
标题翻译：套利经纪人在线广告交易
公开(公告)号：US08589233B2
公开(公告)日：2013-11-19
申请号：US11763542
申请日：2007-06-15
申请人： Gary W. Flake , Brett D. Brewer , Christopher A. Meek , David Max Chickering , Jody D. Biggs , Ewa Dominowska , Brian Burdick
发明人： Gary W. Flake , Brett D. Brewer , Christopher A. Meek , David Max Chickering , Jody D. Biggs , Ewa Dominowska , Brian Burdick
IPC分类号： G06Q30/00
CPC分类号： G06Q30/02 , G06Q30/0242 , G06Q30/0254 , G06Q30/0269 , G06Q30/0275 , G06Q30/0277 , G06Q40/04
摘要： For a multi-party online advertising exchange including advertising and publishing entities and one or more third party participants, the disclosed systems and methods enable third party participation in arbitrage opportunities in online advertising transactions. A plurality of underlying transaction details are abstracted and provided to the third party participants without loss of generalization and while preserving relationships in the transaction data, to enable a third party share risk in advertising transactions. Various system refinements are provided and disclosed according to a host of optional embodiments.
摘要翻译：对于包括广告和出版实体以及一个或多个第三方参与者在内的多方在线广告交易，披露的系统和方法使第三方参与在线广告交易中的套利机会。多个基础交易细节被抽象并提供给第三方参与者而不丢失泛化，同时保持交易数据中的关系，以使第三方在广告交易中共享风险。根据主机的可选实施例提供和公开了各种系统细化。

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