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101. 发明授权

US07848501B2 Storage abuse prevention 有权
标题翻译：存储滥用预防
公开(公告)号：US07848501B2
公开(公告)日：2010-12-07
申请号：US11042245
申请日：2005-01-25
申请人： Joshua T. Goodman , Carl M. Kadie , Christopher A. Meek
发明人： Joshua T. Goodman , Carl M. Kadie , Christopher A. Meek
IPC分类号： H04M3/42 , G06F15/16
CPC分类号： G06F21/606 , G06F21/316 , G06F21/552 , G06F2221/2135 , H04L51/00 , H04L63/1408
摘要： The subject invention provides a unique system and method that facilitates mitigation of storage abuse in connection with free storage provided by messaging service providers such as email, instant messaging, chat, blogging, and/or web hosting service providers. The system and method involve measuring the outbound volume of stored data. When the volume satisfies a threshold, a cost can be imposed on the account to mitigate the suspicious or abusive activity. Other factors can be considered as well that can modify the cost imposed on the cost such as by increasing the cost. Machine learning can be employed as well to predict a level or degree of suspicion. The various factors or the text of the messages can be used as input for the machine learning system.
摘要翻译：本发明提供了一种独特的系统和方法，其有助于缓解由诸如电子邮件，即时消息，聊天，博客和/或网络托管服务提供商之类的消息传递服务提供商提供的免费存储的存储滥用。系统和方法涉及测量存储数据的出站量。当卷满足阈值时，可以对该帐户施加成本以减轻可疑或滥用活动。也可以考虑其他因素，从而可以通过增加成本来改变对成本的成本。也可以使用机器学习来预测一定程度的怀疑。消息的各种因素或文本可以用作机器学习系统的输入。

102. 发明授权

US07739221B2 Visual and multi-dimensional search 失效
标题翻译：视觉和多维搜索
公开(公告)号：US07739221B2
公开(公告)日：2010-06-15
申请号：US11427303
申请日：2006-06-28
申请人： Stephen Lawler , Eric J. Horvitz , Joshua T. Goodman , Anoop Gupta , Christopher A. Meek , Eric D. Brill , Gary W. Flake , Ramez Naam , Surajit Chaudhuri , Oliver Hurst-Hiller
发明人： Stephen Lawler , Eric J. Horvitz , Joshua T. Goodman , Anoop Gupta , Christopher A. Meek , Eric D. Brill , Gary W. Flake , Ramez Naam , Surajit Chaudhuri , Oliver Hurst-Hiller
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , G06F17/30592 , Y10S707/913
摘要： A system that can analyze a multi-dimensional input thereafter establishing a search query based upon extracted features from the input. In a particular example, an image can be used as an input to a search mechanism. Pattern recognition and image analysis can be applied to the image thereafter establishing a search query that corresponds to features extracted from the image input. The system can also facilitate indexing multi-dimensional searchable items thereby making them available to be retrieved as results to a search query. More particularly, the system can employ text analysis, pattern and/or speech recognition mechanisms to extract features from searchable items. These extracted features can be employed to index the searchable items.
摘要翻译：一种能够基于从输入中提取的特征来建立搜索查询的分析多维输入的系统。在特定示例中，图像可以用作搜索机制的输入。模式识别和图像分析可以应用于图像，然后建立对应于从图像输入提取的特征的搜索查询。该系统还可以方便索引多维可搜索项目，从而使得它们可以作为结果被检索到搜索查询。更具体地，系统可以采用文本分析，模式和/或语音识别机制来从可搜索项目中提取特征。这些提取的特征可用于索引可搜索的项目。

103. 发明申请

US20100005291A1 APPLICATION REPUTATION SERVICE 有权
标题翻译：申请信誉服务
公开(公告)号：US20100005291A1
公开(公告)日：2010-01-07
申请号：US12103713
申请日：2008-04-16
申请人： Geoff Hulten , Steve Rehfuss , Ron Franczyk , Christopher A. Meek , John Scarrow , Andrew Newman
发明人： Geoff Hulten , Steve Rehfuss , Ron Franczyk , Christopher A. Meek , John Scarrow , Andrew Newman
IPC分类号： G06F21/22
CPC分类号： G06F21/56 , G06F17/3053 , G06F21/44 , G06F21/51 , G06F2221/033 , H04L63/20
摘要： The claimed subject matter is directed to the use of an application reputation service to assist users with minimizing their computerized machines' exposure to and infection from malware. Specifically, the claimed subject matter provides a method and system of an application reputation service that contains the reputations for elements that are known to be non-malicious as well as those known to be malicious.One embodiment of the claimed subject matter is implemented as a method to determine the reputation of an element (e.g., an application). When a user attempts to install or execute a new application, the Application Reputation Service is queried by the user's machine with a set of identities for the element. The Application Reputation Service determines the reputation of the application by referencing a knowledge base of known reputations and returns an indication (e.g., an overall rating, or a flag) of how safe that application would be to install and run on the user's computer.
摘要翻译：所要求保护的主题涉及使用应用程序信誉服务来帮助用户最小化其计算机化机器对恶意软件的暴露和感染。具体地，所要求保护的主题提供了应用程序信誉服务的方法和系统，其包含已知是非恶意的元件以及已知是恶意的元件的声誉。所要求保护的主题的一个实施例被实现为确定元素（例如，应用）的声誉的方法。当用户尝试安装或执行新应用程序时，应用程序信誉服务将由用户的机器查询，该元素具有一组标识。应用程序信誉服务通过引用已知声誉的知识库来确定应用程序的声誉，并返回应用程序将如何安全地在用户的计算机上安装和运行的指示（例如，总体评级或标志）。

104. 发明申请

US20090287626A1 MULTI-MODAL QUERY GENERATION 审中-公开
标题翻译：多模式查询生成
公开(公告)号：US20090287626A1
公开(公告)日：2009-11-19
申请号：US12200648
申请日：2008-08-28
申请人： Timothy Seung Yoon Paek , Bo Thiesson , Yun-Cheng Ju , Bongshin Lee , Christopher A. Meek
发明人： Timothy Seung Yoon Paek , Bo Thiesson , Yun-Cheng Ju , Bongshin Lee , Christopher A. Meek
IPC分类号： G06F7/06 , G06F17/30 , G06N5/02
CPC分类号： G06F16/3322 , G10L15/26
摘要： A multi-modal search system (and corresponding methodology) is provided. The system employs text, speech, touch and gesture input to establish a search query. Additionally, a subset of the modalities can be used to obtain search results based upon exact or approximate matches to a search result. For example, wildcards, which can either be triggered by the user or inferred by the system, can be employed in the search.
摘要翻译：提供了一种多模式搜索系统（及相应的方法）。系统采用文字，语音，触摸和手势输入建立搜索查询。此外，模态的子集可以用于基于与搜索结果的精确或近似匹配来获得搜索结果。例如，可以由用户触发或由系统推断的通配符可用于搜索。

105. 发明授权

US07580813B2 Systems and methods for new time series model probabilistic ARMA 有权
标题翻译：新时间序列模型概率ARMA的系统和方法
公开(公告)号：US07580813B2
公开(公告)日：2009-08-25
申请号：US10463145
申请日：2003-06-17
申请人： Bo Thiesson , Christopher A. Meek , David M. Chickering , David E. Heckerman
发明人： Bo Thiesson , Christopher A. Meek , David M. Chickering , David E. Heckerman
IPC分类号： G06F17/50 , G05B23/02
CPC分类号： G06F17/18
摘要： The present invention utilizes a cross-prediction scheme to predict values of discrete and continuous time observation data, wherein conditional variance of each continuous time tube variable is fixed to a small positive value. By allowing cross-predictions in an ARMA based model, values of continuous and discrete observations in a time series are accurately predicted. The present invention accomplishes this by extending an ARMA model such that a first time series “tube” is utilized to facilitate or “cross-predict” values in a second time series tube to form an “ARMAxp” model. In general, in the ARMAxp model, the distribution of each continuous variable is a decision graph having splits only on discrete variables and having linear regressions with continuous regressors at all leaves, and the distribution of each discrete variable is a decision graph having splits only on discrete variables and having additional distributions at all leaves.
摘要翻译：本发明利用交叉预测方案来预测离散和连续时间观测数据的值，其中每个连续时间管变量的条件方差固定为小的正值。通过在基于ARMA的模型中允许交叉预测，可以准确预测时间序列中连续和离散观测值。本发明通过扩展ARMA模型来实现这一目的，使得第一时间序列“管”用于促进或“交叉预测”第二时间序列管中的值以形成“ARMAxp”模型。一般来说，在ARMAxp模型中，每个连续变量的分布是仅在离散变量上分裂并具有在所有叶上具有连续回归的线性回归的决策图，并且每个离散变量的分布是仅分解为离散变量，并在所有叶子上具有额外的分布。

106. 发明授权

US07548856B2 Systems and methods for discriminative density model selection 有权
标题翻译：用于区分密度模型选择的系统和方法
公开(公告)号：US07548856B2
公开(公告)日：2009-06-16
申请号：US10441470
申请日：2003-05-20
申请人： Bo Thiesson , Christopher A. Meek
发明人： Bo Thiesson , Christopher A. Meek
IPC分类号： G10L15/06
CPC分类号： G06K9/6226 , G06K9/6296 , G10L15/08
摘要： The present invention utilizes a discriminative density model selection method to provide an optimized density model subset employable in constructing a classifier. By allowing multiple alternative density models to be considered for each class in a multi-class classification system and then developing an optimal configuration comprised of a single density model for each class, the classifier can be tuned to exhibit a desired characteristic such as, for example, high classification accuracy, low cost, and/or a balance of both. In one instance of the present invention, error graph, junction tree, and min-sum propagation algorithms are utilized to obtain an optimization from discriminatively selected density models.
摘要翻译：本发明利用鉴别密度模型选择方法来提供可用于构建分类器的优化密度模型子集。通过允许在多类分类系统中为每个类别考虑多个替代密度模型，然后开发由每个类别的单个密度模型组成的最佳配置，分类器可以被调谐以呈现期望的特性，例如，分类精度高，成本低，和/或两者的平衡。在本发明的一个实例中，使用误差图，结树和最小和传播算法来从区分选择的密度模型中获得优化。

107. 发明申请

US20090054123A1 INFORMATION COLLECTION DURING GAME PLAY 有权
标题翻译：游戏中的信息收集
公开(公告)号：US20090054123A1
公开(公告)日：2009-02-26
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： G06F19/00 , A63F13/00
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。

108. 发明申请

US20090006290A1 TRAINING RANDOM WALKS OVER ABSORBING GRAPHS 有权
标题翻译：在吸收格局上训练随机的沃尔克
公开(公告)号：US20090006290A1
公开(公告)日：2009-01-01
申请号：US11768867
申请日：2007-06-26
申请人： Asela J. Gunawardana , Christopher A. Meek , Ajit Paul Singh
发明人： Asela J. Gunawardana , Christopher A. Meek , Ajit Paul Singh
IPC分类号： G06F15/18 , G06F17/10 , G06F7/22 , G06Q99/00
CPC分类号： G06Q10/04 , G06Q30/0283
摘要： A random walk is performed over a graph, such as an augmented bipartite graph, relating to ownership data with respect to a plurality of users and items owned; the graph can provide social links between the users as well. Items can be recommended to users who do not own the items by randomly walking the graph starting at the user node to which the recommendation will be given. The random walk can step from user to user or from user to item; when an item is reached, the node can be absorbing such that the random walk terminates. The arrived item is recommended to the user. Parameters can also be provided to affect decisions made during the walk about which users to walk to and/or whether to walk to a user or an item.
摘要翻译：在与多个用户和所拥有的项目相关的所有权数据相关的图形上执行随机游走，例如增强的二分图; 该图也可以提供用户之间的社交联系。可以通过随机地从图中给出推荐的用户节点开始，图形推荐给不拥有项目的用户。随机步行可以从用户到用户或从用户到项目步进; 当达到项目时，节点可以被吸收，使得随机游走终止。推荐给用户的到达项目。还可以提供参数来影响在步行期间作出的决定，哪些用户要步行到和/或是否走到用户或物品。

109. 发明授权

US07460712B2 Systems and methods for adaptive handwriting recognition 失效
标题翻译：自适应手写识别的系统和方法
公开(公告)号：US07460712B2
公开(公告)日：2008-12-02
申请号：US11672458
申请日：2007-02-07
申请人： Bo Thiesson , Christopher A. Meek
发明人： Bo Thiesson , Christopher A. Meek
IPC分类号： G06K9/00 , G06K9/62
CPC分类号： G06K9/6292 , G06K9/222
摘要： The present invention utilizes generic and user-specific features of handwriting samples to provide adaptive handwriting recognition with a minimum level of user-specific enrollment data. By allowing generic and user-specific classifiers to facilitate in a recognition process, the features of a specific user's handwriting can be exploited to quickly ascertain characteristics of handwriting characters not yet entered by the user. Thus, new characters can be recognized without requiring a user to first enter that character as enrollment or “training” data. In one instance of the present invention, processing of generic features is accomplished by a generic classifier trained on multiple users. In another instance of the present invention, a user-specific classifier is employed to modify a generic classifier's classification as required to provide user-specific handwriting recognition.
摘要翻译：本发明利用手写样本的通用和用户特定的特征来提供具有最低级别的用户特定注册数据的自适应手写识别。通过允许通用和用户特定的分类器便于识别过程，可以利用特定用户手写的特征来快速确定用户尚未输入的手写字符的特征。因此，可以识别新的字符，而不需要用户首先将该字符输入作为注册或“训练”数据。在本发明的一个实例中，通用特征的处理由对多个用户进行训练的通用分类器来完成。在本发明的另一个实例中，使用用户特定的分类器根据需要修改通用分类器的分类以提供用户特定的手写识别。

110. 发明申请

US20080153595A1 SOCIAL REWARDS FOR ONLINE GAME PLAYING 有权
标题翻译：在线游戏玩的社会奖励
公开(公告)号：US20080153595A1
公开(公告)日：2008-06-26
申请号：US11614588
申请日：2006-12-21
申请人： David M. Chickering , Christopher A. Meek , Bryan N. Culbertson
发明人： David M. Chickering , Christopher A. Meek , Bryan N. Culbertson
IPC分类号： A63F9/24
CPC分类号： G06Q30/02 , A63F2300/5546 , A63F2300/61
摘要： Useful information is acquired from a community of individuals by way of a game that rewards participants with social information about other participants. Points can be awarded to participants simply for participation and/or as a function of game performance. Such points can subsequently be exchanged to reveal information about game partners or other community members. Among other things, such a reward system can motivate individuals to perform tasks that might not otherwise be compelling and/or enjoyable.
摘要翻译：有用的信息是通过游戏方式从个人社区获取的，该游戏会奖励参与者有关其他参与者的社交信息。点数可以仅授予参与者参与和/或作为游戏演出的功能。随后可以交换这些点以揭示关于游戏伙伴或其他社区成员的信息。除此之外，这种奖励制度可以激励个人执行可能无法强制和/或愉快的任务。

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