公开(公告)号：US07713117B2

公开(公告)日：2010-05-11

申请号：US11532452

申请日：2006-09-15

申请人： Thore K. H. Graepel ,  Ralf Herbrich ,  David Stern

发明人： Thore K. H. Graepel ,  Ralf Herbrich ,  David Stern

IPC分类号： A63F9/24

CPC分类号： A63F3/022 ,  A63F3/04 ,  G09B19/22

摘要： Scoring a board configuration for a territory board game is often not straightforward and yet there is a desire to determine such scores quickly and accurately. For example, in the game of GO, determining the score at the end of the game involves assessing whether stones on the board are alive or dead which is a difficult judgment. Given a board configuration, the game is played by a scoring system to obtain a terminal board configuration. This is repeated to obtain a plurality of terminal board configurations from which an assessment can be made as to how likely each board position is to be won by a particular player at the end of the game. The scoring system obtains the terminal board configurations by playing random moves or by making a biased sampling of moves. The biased sampling is made using an evaluation function or in any suitable way. In the game of GO, seki positions are quickly and easily identified. An automated game playing system uses the output of the scoring system to assess when to offer to end a game. The output of the scoring system can also be used to provide hints to players during a game.

摘要翻译： 为领土板游戏评分板块配置通常并不简单，但是希望快速，准确地确定这些分数。 例如，在GO游戏中，确定游戏结束时的分数包括评估板上的石头是活着还是死亡，这是一个困难的判断。 给定一个电路板配置，该游戏由得分系统进行，以获得一个终端板配置。 这是重复的，以获得多个终端板配置，从该终端板配置可以评估在游戏结束时由特定玩家赢得每个板位置的可能性。 评分系统通过播放随机动作或通过偏移采样来获得终端板配置。 使用评估函数或以任何合适的方式进行偏置采样。 在GO的游戏中，seki的位置很容易被识别。 自动游戏系统使用评分系统的输出来评估何时提供结束游戏。 评分系统的输出也可用于在游戏过程中向玩家提供提示。

公开(公告)号：US20120150771A1

公开(公告)日：2012-06-14

申请号：US12963352

申请日：2010-12-08

申请人： Gjergji Kasneci ,  Jurgen Ann Francois Marie Van Gael ,  Thore Graepel ,  Ralf Herbrich ,  David Stern

发明人： Gjergji Kasneci ,  Jurgen Ann Francois Marie Van Gael ,  Thore Graepel ,  Ralf Herbrich ,  David Stern

IPC分类号： G06F15/18

CPC分类号： G06N7/005

摘要： Knowledge corroboration is described. In an embodiment many judges provide answers to many questions so that at least one answer is provided to each question and at least some of the questions have answers from more than one judge. In an example a probabilistic learning system takes features describing the judges or the questions or both and uses those features to learn an expertise of each judge. For example, the probabilistic learning system has a graphical assessment component which aggregates the answers in a manner which takes into account the learnt expertise in order to determine enhanced answers. In an example the enhanced answers are used for knowledge base clean-up or web-page classification and the learnt expertise is used to select judges for future questions. In an example the probabilistic learning system has a logical component that propagates answers according to logical relations between the questions.

摘要翻译： 描述知识佐证。 在一个实施例中，许多法官为许多问题提供答案，使得至少一个答案被提供给每个问题，并且至少一些问题具有来自多于一个法官的答案。 在一个例子中，概率学习系统采用描述法官或问题或两者的特征，并使用这些特征来学习每个法官的专业知识。 例如，概率学习系统具有图形评估组件，其以考虑到所学习的专业知识的方式聚集答案，以便确定增强的答案。 在一个例子中，增强的答案用于知识库清理或网页分类，并且学习的专业知识用于为将来的问题选择法官。 在一个例子中，概率学习系统具有根据问题之间的逻辑关系传播答案的逻辑组件。

公开(公告)号：US20120101965A1

公开(公告)日：2012-04-26

申请号：US12912428

申请日：2010-10-26

申请人： Philipp Hennig ,  David Stern ,  Thore Graepel ,  Ralf Herbrich

发明人： Philipp Hennig ,  David Stern ,  Thore Graepel ,  Ralf Herbrich

IPC分类号： G06F15/18 ,  G06N5/02

CPC分类号： G06N99/005 ,  G06N7/005

摘要： Machine learning techniques may be used to train computing devices to understand a variety of documents (e.g., text files, web pages, articles, spreadsheets, etc.). Machine learning techniques may be used to address the issue that computing devices may lack the human intellect used to understand such documents, such as their semantic meaning. Accordingly, a topic model may be trained by sequentially processing documents and/or their features (e.g., document author, geographical location of author, creation date, social network information of author, and/or document metadata). Additionally, as provided herein, the topic model may be used to predict probabilities that words, features, documents, and/or document corpora, for example, are indicative of particular topics.

摘要翻译： 机器学习技术可用于训练计算设备以理解各种文档（例如，文本文件，网页，文章，电子表格等）。 可以使用机器学习技术来解决计算设备可能缺乏用于理解这样的文档的人类智力的问题，例如其语义意义。 因此，主题模型可以通过顺序处理文档和/或其特征（例如，文档作者，作者的地理位置，创作日期，作者的社交网络信息和/或文档元数据）来进行培训。 另外，如本文所提供的，主题模型可以用于预测词，特征，文档和/或文档语料库例如表示特定主题的概率。

公开(公告)号：US20110218946A1

公开(公告)日：2011-09-08

申请号：US12717109

申请日：2010-03-03

申请人： David Stern ,  Ralf Herbrich ,  Milad Shokouhi ,  Thore Kurt Hartwig Graepel

发明人： David Stern ,  Ralf Herbrich ,  Milad Shokouhi ,  Thore Kurt Hartwig Graepel

IPC分类号： G06F17/30 ,  G06F15/18

CPC分类号： H04L12/1859 ,  G06F16/5866 ,  G06N20/00 ,  G06Q30/02 ,  G06Q50/01

摘要： A user may request a presentation of a content item set, such as a social network comprising a set of status messages or an image database comprising a set of images. However, the volume and diversity of content items of the content item set may reduce the interest of the user in the presented content items. The potential interest of the user in the presented content items may be improved by selecting content items that are associated with one or more topics of potential interest to the user, and having a positive trending popularity among users of the content item set. Moreover, the interaction of the user with a presented content item may be monitored and used to determine the interest of the user in the topics associated with the presented content item and the popularity of the content item.

摘要翻译： 用户可以请求内容项目集的呈现，诸如包括一组状态消息的社交网络或包括一组图像的图像数据库。 然而，内容项目集的内容项目的数量和多样性可能降低用户在所呈现的内容项中的兴趣。 可以通过选择与用户潜在兴趣的一个或多个主题相关联的内容项，并且在内容项集合的用户中具有积极的趋势流行度来改善用户对所呈现的内容项目的潜在兴趣。 此外，可以监视用户与所呈现的内容项目的交互并用于确定用户在与所呈现的内容项目相关联的主题以及内容项目的受欢迎程度中的兴趣。

公开(公告)号：US20110131163A1

公开(公告)日：2011-06-02

申请号：US12628421

申请日：2009-12-01

申请人： David Stern ,  Horst Cornelius Samulowitz ,  Ralf Herbrich ,  Thore Graepel

发明人： David Stern ,  Horst Cornelius Samulowitz ,  Ralf Herbrich ,  Thore Graepel

IPC分类号： G06F15/18 ,  G06N7/02

CPC分类号： G06N5/04 ,  G06Q10/00

摘要： Managing a portfolio of experts is described where the experts may be for example, automated experts or human experts. In an embodiment a selection engine selects an expert from a portfolio of experts and assigns the expert to a specified task. For example, the selection engine has a Bayesian machine learning system which is iteratively updated each time an experts performance on a task is observed. For example, sparsely active binary task and expert feature vectors are input to the selection engine which maps those feature vectors to a multi-dimensional trait space using a mapping learnt by the machine learning system. In examples, an inner product of the mapped vectors gives an estimate of a probability distribution over expert performance. In an embodiment the experts are automated problem solvers and the task is a hard combinatorial problem such as a constraint satisfaction problem or combinatorial auction.

摘要翻译： 描述专家组合的描述，专家可能是例如，自动化专家或人类专家。 在一个实施例中，选择引擎从专家组合中选择专家，并将专家分配给指定的任务。 例如，选择引擎具有贝叶斯机器学习系统，每当观察到任务上的专家表现时，该学习系统被迭代地更新。 例如，将稀疏活动的二进制任务和专家特征向量输入到使用机器学习系统学习的映射将这些特征向量映射到多维特征空间的选择引擎。 在示例中，映射向量的内积给出了对专家性能的概率分布的估计。 在一个实施例中，专家是自动化问题解决者，并且任务是诸如约束满足问题或组合拍卖之类的硬组合问题。

公开(公告)号：US20100100416A1

公开(公告)日：2010-04-22

申请号：US12253854

申请日：2008-10-17

申请人： Ralf Herbrich ,  Thore Graepel ,  David Stern

发明人： Ralf Herbrich ,  Thore Graepel ,  David Stern

IPC分类号： G06F17/30

CPC分类号： G06Q30/0633 ,  G06Q30/02 ,  G06Q30/0203

摘要： A recommender system may be used to predict a user behavior that a user will give in relation to an item. In an embodiment such predictions are used to enable items to be recommended to users. For example, products may be recommended to customers, potential friends may be recommended to users of a social networking tool, organizations may be recommended to automated users or other items may be recommended to users. In an embodiment a memory stores a data structure specifying a bi-linear collaborative filtering model of user behaviors. In the embodiment an automated inference process may be applied to the data structure in order to predict a user behavior given information about a user and information about an item. For example, the user information comprises user features as well as a unique user identifier.

摘要翻译： 推荐系统可以用于预测用户将相对于项目给出的用户行为。 在一个实施例中，这样的预测用于使得可以向用户推荐项目。 例如，产品可能会推荐给客户，潜在的朋友可能会推荐给社交网络工具的用户，组织可能会推荐给自动化用户或其他项目可能推荐给用户。 在一个实施例中，存储器存储指定用户行为的双线性协同过滤模型的数据结构。 在该实施例中，自动推理过程可以应用于数据结构，以便预测给定关于用户的信息的用户行为和关于项目的信息。 例如，用户信息包括用户特征以及唯一的用户标识符。

公开(公告)号：US07647289B2

公开(公告)日：2010-01-12

申请号：US11421913

申请日：2006-06-02

申请人： Thore K H Graepel ,  Ralf Herbrich ,  David Stern

发明人： Thore K H Graepel ,  Ralf Herbrich ,  David Stern

IPC分类号： G06F15/18 ,  G06F15/00

CPC分类号： A63F3/022 ,  A63F3/04 ,  G09B19/22

摘要： We describe an apparatus for learning to predict moves in games such as chess, Go and the like, from historical game records. We obtain a probability distribution over legal moves in a given board configuration. This enables us to provide an automated game playing system, a training tool for players and a move selector/sorter for input to a game tree search system. We use a pattern extraction system to select patterns from historical game records. Our learning algorithm learns a distribution over the values of a move given a board position based on local pattern context. In another embodiment we use an Independent Bernoulli model whereby we assume each moved is played independently of other available moves.

摘要翻译： 我们描述一种从历史游戏记录中学习来预测诸如象棋，Go等游戏中的移动的装置。 在给定的电路板配置中，我们获得了合法移动的概率分布。 这使我们能够提供一种自动游戏系统，用于玩家的训练工具和用于输入到游戏树搜索系统的移动选择器/分选器。 我们使用模式提取系统从历史游戏记录中选择模式。 我们的学习算法基于局部模式上下文学习一个给定一个董事会职位的动作值的分布。 在另一个实施例中，我们使用独立的伯努利模型，由此我们假设每个移动都是独立于其他可用移动进行的。

公开(公告)号：US20130018938A1

公开(公告)日：2013-01-17

申请号：US13180375

申请日：2011-07-11

申请人： Anthony WOOD ,  David Stern ,  David Westerhoff ,  Bill Ataras ,  Mark Goodwin ,  Aaron Graham ,  Matt Emerson ,  Kevin Phillips

发明人： Anthony WOOD ,  David Stern ,  David Westerhoff ,  Bill Ataras ,  Mark Goodwin ,  Aaron Graham ,  Matt Emerson ,  Kevin Phillips

IPC分类号： G06F15/16

CPC分类号： H04L65/4069 ,  H04L65/1063 ,  H04L65/4076

摘要： A method for a computer system includes receiving an identifier associated with a client streaming player, determining one or more attributes associated with the identifier from a data structure in response to the identifier, determining available channels from a plurality of channels that are to be made available to the client streaming player in response to the identifier, wherein available channels comprises a first channel, but not the second channel, determining a first graphical identifier associated with the first channel, providing the first graphical identifier to the client streaming player, receiving a user selection of the first graphical identifier indicating a user request to associate the first channel with the computer system, and providing an indicator of a server network address associated with the first channel to the client streaming player.

摘要翻译： 一种用于计算机系统的方法包括：接收与客户端流播放器相关联的标识符，响应于所述标识符从数据结构确定与所述标识符相关联的一个或多个属性，从多个信道中确定可用信道 响应于所述标识符到所述客户端流播放器，其中可用信道包括第一信道而不是所述第二信道，确定与所述第一信道相关联的第一图形标识符，向所述客户端流播放器提供所述第一图形标识符，接收用户 选择第一图形标识符，指示用户请求将第一频道与计算机系统相关联，以及向客户端流播放器提供与第一频道相关联的服务器网络地址的指示符。

公开(公告)号：US20100296727A1

公开(公告)日：2010-11-25

申请号：US12780825

申请日：2010-05-14

申请人： David Stern ,  Chuan Gao ,  Melvin Yamamoto ,  Devin Nguyen

发明人： David Stern ,  Chuan Gao ,  Melvin Yamamoto ,  Devin Nguyen

IPC分类号： G06K9/00 ,  B23P11/00

CPC分类号： G06K9/00134 ,  G01N21/6452 ,  G02B21/0076 ,  G02B21/008 ,  G02B21/16 ,  G02B21/361 ,  Y10T29/49826

摘要： In one embodiment of the invention, a method to image a probe array is described that includes focusing on a plurality of fiducials on a surface of an array. The method utilizes obtaining the best z position of the fiducials and using a surface fitting algorithm to produce a surface fit profile. One or more surface non-flatness parameters can be adjusted to improve the flatness image of the array surface to be imaged.

摘要翻译： 在本发明的一个实施例中，描述了一种对探针阵列成像的方法，其包括聚焦在阵列表面上的多个基准点上。 该方法利用获得基准的最佳z位置并使用表面拟合算法来产生表面拟合曲线。 可以调整一个或多个表面非平坦度参数以改善待成像的阵列表面的平坦度图像。

公开(公告)号：US07481771B2

公开(公告)日：2009-01-27

申请号：US10886829

申请日：2004-07-07

申请人： Michael Fonseca ,  Mark Allen ,  David Stern ,  Jason White ,  Jason Kroh

发明人： Michael Fonseca ,  Mark Allen ,  David Stern ,  Jason White ,  Jason Kroh

IPC分类号： A61B5/0215

CPC分类号： A61B5/0031 ,  A61B5/0215

摘要： The progress of a endovascular cardiac repair can be monitored by inserting a pressure transducer sensor using a catheter into a chamber of the heart during endovascular repair and then using a small, hand-held read out device to measure pressure easily, safely, inexpensively and accurately. In one aspect a sensor is introduced into the body by the steps of folding or rolling the sensor into a cylinder, loading it into a catheter, and deploying into the heart chamber by allowing it to unroll or unfold, either by itself or facilitated by the incorporation of a super-elastic alloy component.

摘要翻译： 可以通过在血管内修复期间使用导管将压力换能器传感器插入心脏腔室来监测血管内心脏修复的进展，然后使用小的手持式读出装置来容易地，安全地，低成本地和准确地测量压力 。 在一个方面，传感器通过将传感器折叠或滚动到圆筒中，将其装入导管中并通过允许其自身展开或展开而部署到心室中的步骤被引入到体内， 掺入超弹性合金成分。