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    • 21. 发明申请
    • Invariant pattern recognition
    • 不变模式识别
    • US20050097068A1
    • 2005-05-05
    • US10697727
    • 2003-10-29
    • Thore GraepelRalf Herbrich
    • Thore GraepelRalf Herbrich
    • G06F15/18G06F17/00G06G7/00G06K9/62G06N5/02
    • G06K9/6255
    • An adaptive pattern classifier makes use of training patterns and a known non-linear invariance transformation to generate a classifier representation based on an infinite set of virtual training samples on a training trajectory. Given the non-linear invariance transformation, optimization can be formulated as a semidefinite program (SDP), which is given by a linear objective function that is minimized subject to a linear matrix inequality (LMI). In this manner, a small training set may be virtually supplemented using the non-linear invariance transformation to learn an effective classifier that satisfactorily recognizes patterns, even in the presence of known transformations that do not change the class of the pattern.
    • 自适应模式分类器利用训练模式和已知的非线性不变性变换来生成基于训练轨迹上的虚拟训练样本的无限集合的分类器表示。 给定非线性不变性变换,可以将优化表达为半定程序(SDP),该方案由线性目标函数给出,该函数根据线性矩阵不等式(LMI)最小化。 以这种方式,可以使用非线性不变性变换来虚拟地补充小的训练集,以学习即使在不改变模式类别的已知变换的存在下令人满意地识别模式的有效分类器。
    • 22. 发明授权
    • Adaptive matchmaking for games
    • 适应性匹配的游戏
    • US08672764B2
    • 2014-03-18
    • US11693635
    • 2007-03-29
    • Thore GraepelRalf HerbrichDavid Shaw
    • Thore GraepelRalf HerbrichDavid Shaw
    • A63F9/24
    • A63F13/798A63F13/12A63F2300/5566A63F2300/63
    • Matchmaking processes at online game services often result in players having to wait unacceptably long times to receive a match or immediately receiving a poorly matched session. By using a matchmaking process which dynamically adapts a good balance is achieved between the quality of proposed matches (for example, in terms of how balanced, interesting and fun those matches are likely to be) and the waiting time for potential matches. A matchmaking threshold is specified. When a player seeks a match a waiting time is observed, for example, as to how long that player waits until starting a game or dropping out. Information about such waiting times is used to dynamically update the matchmaking threshold. The update is made on the basis of a relationship between information about the observed waiting time and a target waiting time. Further control may be achieved by using separate matchmaking thresholds and target waiting times for different game categories.
    • 在线游戏服务中的对接过程通常会导致玩家不得不等待不可接受的长时间接收匹配或立即接收到不良匹配的会话。 通过使用匹配过程,动态地适应所提出的匹配的质量之间的良好平衡(例如,在这些匹配的平衡,有趣和有趣的可能性方面)以及潜在匹配的等待时间。 指定匹配阈值。 当玩家寻找比赛时,观察到等待时间,例如,玩家在开始游戏或退出之前等待多久。 关于这种等待时间的信息用于动态地更新配对阈值。 更新是根据观察到的等待时间的信息与目标等待时间之间的关系进行的。 可以通过对不同的游戏类别使用单独的配对阈值和目标等待时间来实现进一步的控制。
    • 23. 发明申请
    • Publishing Commercial Information in a Social Network
    • 在社交网络中发布商业信息
    • US20120089446A1
    • 2012-04-12
    • US12899566
    • 2010-10-07
    • Anoop GuptaThore GraepelRalf Herbrich
    • Anoop GuptaThore GraepelRalf Herbrich
    • G06Q30/00
    • G06Q30/0208G06Q30/0601G06Q50/01
    • A publishing engine captures commercial information associated with a first user and automatically notifies other users in the first user's social network of this commercial information. The first user authorizes an e-commerce system to access his or her social network and to publish commercial information about the first user's commercial activity (e.g., a purchase or other commercial transaction) to users in the social network. By this automated notification, the notified users in the first user's social network can learn that the first user has completed a commercial transaction pertaining to a particular product or service. If a notified user is interested in a similar product or service, he or she can contact the first user to inquire about the first user's experience and information with the product or service.
    • 发布引擎捕获与第一用户相关联的商业信息,并自动通知第一用户的社交网络中的其他用户该商业信息。 第一个用户授权电子商务系统访问他或她的社交网络,并且向社交网络中的用户发布关于第一用户的商业活动(例如,购买或其他商业交易)的商业信息。 通过该自动通知,第一用户社交网络中通知的用户可以知道第一用户已经完成了与特定产品或服务有关的商业交易。 如果通知用户对类似的产品或服务感兴趣,他或她可以联系第一个用户以查询第一个用户的体验和产品或服务的信息。
    • 25. 发明申请
    • Event Prediction
    • 事件预测
    • US20090043593A1
    • 2009-02-12
    • US11835985
    • 2007-08-08
    • Ralf HerbrichThore GraepelOnno ZoeterJoaquin Quinonero CandelaPhillip Trelford
    • Ralf HerbrichThore GraepelOnno ZoeterJoaquin Quinonero CandelaPhillip Trelford
    • G06F17/18G06Q99/00
    • G06Q10/04G06Q30/0185
    • There are many situations in which it is desired to predict outcomes of events. In an example, an event prediction system is described which receives variables for a proposed event. The system accesses learnt statistics describing belief about weights associated with the variables and uses the weights to determine probability information that the proposed event will have a specified outcome. The process involves combining the accessed statistics and mapping them into a number representing the probability. In another example, a machine learning process using assumed density filtering is used to learn the statistics from data about observed events. The event prediction system may be used as part of any suitable type of system such as an internet advertising system, an email filtering system, or a fraud detection system.
    • 有很多情况需要预测事件的结果。 在一个示例中,描述了接收所提出事件的变量的事件预测系统。 系统访问学习的统计数据,描述与变量相关联的权重的信念,并使用权重来确定拟议事件将具有指定结果的概率信息。 该过程涉及组合所访问的统计数据并将其映射成表示概率的数字。 在另一个例子中,使用假设浓度滤波的机器学习过程来从关于观测事件的数据中学习统计数据。 事件预测系统可以用作任何合适类型的系统的一部分,例如互联网广告系统,电子邮件过滤系统或欺诈检测系统。
    • 26. 发明申请
    • Dependency structure from temporal data
    • 时态数据依赖结构
    • US20060164997A1
    • 2006-07-27
    • US11027188
    • 2004-12-30
    • Thore GraepelRalf HerbrichShyamsundar Rajaram
    • Thore GraepelRalf HerbrichShyamsundar Rajaram
    • H04L12/26H04J1/16H04J3/14H04L1/00G01R31/08G06F11/00G08C15/00
    • G06F11/3452G06F11/3419G06F11/3495G06F2201/835
    • Based on the time series data from multiple components, the systems administrator or other managing entity may desire to find the temporal dependencies between the different time series data over time. For example, based on actions indicated in time series data from two or more servers in a server network, a dependency structure may be determined which indicates a parent/child or dependent relationship between the two or more servers. In some cases, it may also be beneficial to predict the state of a child component, and/or predict the average time to a state change or event of a child component based on the parent time series data. These determinations and predications may reflect the logical connections between actions of components. The relationships and/or predictions may be expressed graphically and/or in terms of a probability distribution.
    • 基于来自多个组件的时间序列数据,系统管理员或其他管理实体可能希望随着时间的推移找到不同时间序列数据之间的时间依赖性。 例如,基于来自服务器网络中的两个或多个服务器的时间序列数据中指示的动作,可以确定依赖结构,其指示两个或多个服务器之间的父/子或依赖关系。 在某些情况下,基于父时间序列数据预测子组件的状态和/或预测子组件的状态改变或事件的平均时间也可能是有益的。 这些确定和预测可能反映组件的动作之间的逻辑连接。 关系和/或预测可以以图形和/或以概率分布来表示。
    • 27. 发明授权
    • Event prediction in dynamic environments
    • 动态环境中的事件预测
    • US08417650B2
    • 2013-04-09
    • US12694485
    • 2010-01-27
    • Thore GraepelJoaquin Quinonero CandelaThomas Ivan BorchertRalf Herbrich
    • Thore GraepelJoaquin Quinonero CandelaThomas Ivan BorchertRalf Herbrich
    • G06F15/18
    • G06Q30/02G06N7/005G06Q10/00G06Q30/0202
    • Event prediction in dynamic environments is described. In an embodiment a prediction engine may use the learnt information to predict events in order to control a system such as for internet advertising, email filtering, fraud detection or other applications. In an example one or more variables exists for pre-specified features describing or associated with events and each variable is considered to have an associated weight and time stamp. For example, belief about each weight is represented using a probability distribution and a dynamics process is used to modify the probability distribution in a manner dependent on the time stamp for that weight. For example, the uncertainty about the associated variable's influence on prediction of future events is increased. Examples of different schedules for applying the dynamics process are given.
    • 描述动态环境中的事件预测。 在一个实施例中,预测引擎可以使用所学习的信息来预测事件,以便控制诸如互联网广告,电子邮件过滤,欺诈检测或其他应用的系统。 在一个示例中,存在用于描述或与事件相关联的预先指定的特征的一个或多个变量,并且每个变量被认为具有相关联的权重和时间戳。 例如,使用概率分布来表示关于每个权重的信念,并且使用动态过程以取决于该权重的时间戳的方式来修改概率分布。 例如,相关变量对未来事件预测的影响的不确定性增加。 给出了应用动态过程的不同时间表的示例。
    • 28. 发明授权
    • Reputation system
    • 声誉系统
    • US08374973B2
    • 2013-02-12
    • US11693653
    • 2007-03-29
    • Ralf HerbrichThore GraepelDavid Shaw
    • Ralf HerbrichThore GraepelDavid Shaw
    • G06Q99/00G06Q30/00
    • G06Q30/02G06Q30/0282
    • Reputation systems have been used to promote trust between participants in activities including online activities such as online market places. Existing online market places provide a reputation system which is a simple cumulative registry of user ratings on a given market place member. However, this simple system is open to abuse in situations where, for example, many positive ratings are given in a fraudulent manner. By modeling both reputation of participants and required reputation of participants an improved reputation system is provided. The required reputation may be thought of as a threshold, referred to herein as a required threshold, which may be used in determining how to update an indication of the reputation of a participant in the activity. The reputation system is able to learn information about required reputation and reputation of participants using an update process which is robust to participants who consistently give feedback of a particular type.
    • 信誉系统已被用于促进参与者之间的信任,包括在线活动,如在线市场。 现有的在线市场地点提供了一个声誉系统,这是一个简单的累积登记的用户评级在给定的市场成员。 然而,这种简单的系统在例如以欺诈方式给出许多正面评级的情况下是可以滥用的。 通过对参与者的声誉和参与者的声誉进行建模,提供了改进的声誉系统。 所需的信誉可以被认为是阈值,这里称为所需阈值,其可用于确定如何更新活动中参与者的信誉的指示。 信誉系统能够使用对持续给出特定类型的反馈的参与者是稳健的更新过程来学习关于参与者的所需信誉和声誉的信息。
    • 29. 发明申请
    • RECONSTRUCTING THE ONLINE FLOW OF RECOMMENDATIONS
    • 重建建议的在线流程
    • US20110313833A1
    • 2011-12-22
    • US12818170
    • 2010-06-18
    • Thore GraepelRalf Herbrich
    • Thore GraepelRalf Herbrich
    • G06Q30/00
    • G06Q30/0214
    • Online recommendations are tracked through a forwarding service. For example, a user may send an email to a friend recommending a product specified at a web site identified by a URI embedded in the email. Before sending the email, the user submits the URI to a forwarding service, which returns a new URI mapped to the original URI and to the recommending user. The recommending user can then recommend the web site by forwarding the new URI to the friend. If the friend selects the recommended URI to review the web site, the forwarding service records the decision to review the web site and directs the friend to the recommended web site. The forwarding service maintains a database of recommendations made by the recommending user, recommendation consumed by the friend, etc. Incentives can be provided to the recommending user and the friend to encourage recommendations.
    • 通过转发服务跟踪在线建议。 例如,用户可以向建议在由电子邮件嵌入的URI标识的网站上指定的产品的朋友发送电子邮件。 在发送电子邮件之前,用户将URI提交给转发服务,转发服务返回映射到原始URI的新URI和推荐用户。 然后推荐的用户可以通过将新的URI转发给朋友来推荐该网站。 如果朋友选择推荐的URI来查看网站,则转发服务记录审查网站的决定,并将朋友指向推荐的网站。 转发服务维护由推荐用户提出的建议的数据库,朋友消费的推荐等。可以向推荐用户和朋友提供奖励以鼓励推荐。