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    • 51. 发明授权
    • Ligand binding site of rage and uses thereof
    • 配体结合位点及其用途
    • US06555651B2
    • 2003-04-29
    • US08948131
    • 1997-10-09
    • David SternShi Du YanAnn Marie SchmidtIra Lamster
    • David SternShi Du YanAnn Marie SchmidtIra Lamster
    • A61K3800
    • C07K14/70503A01K2217/075A61K38/00
    • The present method provides for an isolated peptide having an amino acid sequence corresponding to the amino acid sequence of a V-domain of a receptor for advanced glycation endproduct (RAGE). The present invention also provides for an isolated peptide having an amino acid sequence A-Q-N-I-T-A-R-I-G-E-P-L-V-L-K-C-K-G-A-P-K-K-P-P-Q-R-L-E-W-K (SEQ. ID No: 1). The present invention provides for a pharmaceutical composition comprising a therapeutically effect amount of an isolated peptide having an amino acid sequence corresponding to the amino acid sequence of a V-domain of RAGE. The present invention also provides for a method for inhibiting interaction of an amyloid-&bgr; peptide with a receptor for advanced glycation end product which is on the surface of a cell, which comprises contacting the cell with the peptide or a functionally equivalent agent, wherein the peptide or agent is capable of inhibiting interaction of the amyloid-&bgr; peptide with the receptor for advanced glycation end product, and the peptide or agent is present in an amount effective to inhibit interaction of the amyloid-&bgr; peptide with the receptor for advanced glycation endproduct.
    • 本方法提供了具有对应于晚期糖基化终产物(RAGE)受体的V-结构域的氨基酸序列的氨基酸序列的分离的肽。 本发明还提供具有氨基酸序列A-Q-N-I-T-A-R-I-G-E-P-L-V-L-K-C-K-G-A-P-K-P-P-Q-R-L-E-W-K(SEQ ID NO:1)的分离肽。 本发明提供了一种药物组合物,其包含治疗有效量的具有对应于RAGE的V-结构域的氨基酸序列的氨基酸序列的分离的肽。 本发明还提供了抑制淀粉样蛋白-β肽与细胞表面上的晚期糖基化终产物的受体的相互作用的方法,其包括使细胞与肽或功能等同试剂接触,其中 肽或试剂能够抑制淀粉样蛋白β肽与晚期糖基化终产物的受体的相互作用,并且肽或试剂以有效抑制淀粉样蛋白-β肽与晚期糖基化终产物受体相互作用的量存在 。
    • 54. 发明授权
    • Topic models
    • 主题模型
    • US08645298B2
    • 2014-02-04
    • US12912428
    • 2010-10-26
    • Philipp HennigDavid SternThore GraepelRalf Herbrich
    • Philipp HennigDavid SternThore GraepelRalf Herbrich
    • G06F17/00G06F15/18G06N5/00G06F7/00G06F17/30
    • G06N99/005G06N7/005
    • 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.
    • 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。
    • 56. 发明授权
    • Managing a portfolio of experts
    • 管理专家组合
    • US08433660B2
    • 2013-04-30
    • US12628421
    • 2009-12-01
    • David SternHorst Cornelius SamulowitzRalf HerbrichThore Graepel
    • David SternHorst Cornelius SamulowitzRalf HerbrichThore Graepel
    • G06F15/18G06F17/00G06F5/00G06F15/00G06E1/00G06E3/00G06G7/00
    • G06N5/04G06Q10/00
    • 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.
    • 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。
    • 57. 发明授权
    • Method for performing retail sales analysis
    • 执行零售销售分析的方法
    • US08214246B2
    • 2012-07-03
    • US10955946
    • 2004-09-30
    • Paul SpringfieldEdwin BlakeDavid Stern
    • Paul SpringfieldEdwin BlakeDavid Stern
    • G06Q30/00
    • G06Q30/02G06Q30/0201
    • The invention provides a user with substantial flexibility in requesting and generating analysis projects on transaction and/or consumer data that is stored in one or more databases. Exemplary embodiments of the invention provide a method for retailers and other authorized users, such as suppliers, to access and perform sophisticated, highly specialized analysis on transaction and/or consumer data, such as retail sales and consumer data, from a remote location using an internet connected computer. The transaction and/or consumer data that is accessed can be a compilation of retail transaction data (collected from EPOS systems, for example) and/or consumer data (which has been collected from frequent-shopper or loyalty cards used by consumers when they shop, for example). Projects are generated as spreadsheet based interactive reports, which are easy to manipulate for further analysis and presentations. Insights from these projects can lead to better decisions on new product launches, sampling, merchandizing, assortment, distribution, and other sales and marketing priorities. Exemplary projects may be interactive, allowing the user to manipulate and extract information which is specific to the user's particular needs.
    • 本发明为用户提供了在存储在一个或多个数据库中的关于事务和/或消费者数据的请求和生成分析项目方面的巨大灵活性。 本发明的示例性实施例提供了一种用于零售商和其他授权用户(例如供应商)从远程位置访问和执行关于交易和/或消费者数据(例如零售销售和消费者数据)的复杂,高度专门化的分析的方法,其使用 互联网连接电脑。 访问的交易和/或消费者数据可以是零售交易数据(例如从EPOS系统收集)和/或消费者数据的汇编(其已经被消费者在购物时使用的频繁购物者或会员卡中收集 , 例如)。 项目生成为基于电子表格的交互式报告,易于操作以进行进一步的分析和演示。 这些项目的见解可以为新产品推出,抽样,商品化,分类,分销以及其他销售和营销优先事项做出更好的决策。 示例性项目可以是交互式的,允许用户操纵和提取特定于用户特定需求的信息。
    • 58. 发明授权
    • Scoring system for games
    • 游戏评分系统
    • US07713117B2
    • 2010-05-11
    • US11532452
    • 2006-09-15
    • Thore K. H. GraepelRalf HerbrichDavid Stern
    • Thore K. H. GraepelRalf HerbrichDavid Stern
    • A63F9/24
    • A63F3/022A63F3/04G09B19/22
    • 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.
    • 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。