METHOD FOR AN OPTIMIZING PREDICTIVE MODEL USING GRADIENT DESCENT AND CONJUGATE RESIDUALS
    31.
    发明申请
    METHOD FOR AN OPTIMIZING PREDICTIVE MODEL USING GRADIENT DESCENT AND CONJUGATE RESIDUALS 审中-公开
    使用梯度和连续残差优化预测模型的方法

    公开(公告)号:US20140214735A1

    公开(公告)日:2014-07-31

    申请号:US14165431

    申请日:2014-01-27

    发明人: Georges Harik

    IPC分类号: G06N99/00

    CPC分类号: G06N99/005

    摘要: An optimization in machine learning is achieved using Newton's algorithm together with an efficient technique for solving linear equations, such as the method of conjugate residuals. The techniques of the present invention are applicable to learning language models, predicting classes of objects from images and videos, and classifying financial transactions for prevention of fraud. Other uses include determining a function from a sequence of words to a relevant web page for a search engine, or to inverting arbitrary output values of an analyzed system into an internally running simulation.

    摘要翻译: 使用牛顿算法和解决线性方程的有效技术,如共轭残差法,实现机器学习的优化。 本发明的技术适用于学习语言模型,从图像和视频中预测对象的类别,以及对金融交易进行分类以防止欺诈。 其他用途包括从一系列单词到搜索引擎的相关网页确定一个函数,或将所分析的系统的任意输出值反转为内部运行的模拟。

    METHOD AND APPARATUS FOR IMPROVING RESILIENCE IN CUSTOMIZED PROGRAM LEARNING NETWORK COMPUTATIONAL ENVIRONMENTS
    32.
    发明申请
    METHOD AND APPARATUS FOR IMPROVING RESILIENCE IN CUSTOMIZED PROGRAM LEARNING NETWORK COMPUTATIONAL ENVIRONMENTS 有权
    用于改善自定义程序学习网络计算环境中的可靠性的方法和装置

    公开(公告)号:US20140156569A1

    公开(公告)日:2014-06-05

    申请号:US13921124

    申请日:2013-06-18

    申请人: Georges Harik

    发明人: Georges Harik

    IPC分类号: G06N99/00

    CPC分类号: G06N99/005 G06N3/08

    摘要: An apparatus and a method are provided for learning a program with a large number of parameters. In one embodiment, a method not only distorts the input values, but also distorts some of the parameters in the program model. Such an approach not only forces the learned program to acquire parameter values to predict missing or desired data, but also to correct errors in the input data and the program parameters themselves, thereby rendering the learned program more resilient to overfitting and falling into local optima.

    摘要翻译: 提供了一种用于学习具有大量参数的程序的装置和方法。 在一个实施例中,一种方法不仅会扭曲输入值,而且会扭曲程序模型中的一些参数。 这种方法不仅强制学习的程序获取参数值来预测丢失或期望的数据,而且还要纠正输入数据和程序参数本身中的错误,从而使学习的程序更适合过度拟合并落入局部最优。

    Method and apparatus for characterizing documents based on clusters of related words
    33.
    发明授权
    Method and apparatus for characterizing documents based on clusters of related words 有权
    基于相关单词集合来表征文档的方法和装置

    公开(公告)号:US08688720B1

    公开(公告)日:2014-04-01

    申请号:US12131637

    申请日:2008-06-02

    IPC分类号: G06F7/00

    摘要: One embodiment of the present invention provides a system characterizes a document with respect to clusters of conceptually related words. Upon receiving a document containing a set of words, the system selects “candidate clusters” of conceptually related words that are related to the set of words. These candidate clusters are selected using a model that explains how sets of words are generated from clusters of conceptually related words. Next, the system constructs a set of components to characterize the document, wherein the set of components includes components for candidate clusters. Each component in the set of components indicates a degree to which a corresponding candidate cluster is related to the set of words.

    摘要翻译: 本发明的一个实施例提供了一种系统表征关于概念上相关词组的文档。 在接收到包含一组单词的文档时,系统选择与该组词相关的概念上相关词的“候选聚类”。 使用一个模型来选择这些候选群集,该模型解释了如何从概念上相关的单词群集中生成单词组。 接下来,系统构造一组组件来表征文档,其中该组组件包括用于候选聚类的组件。 组件组中的每个组件表示对应的候选集群与该组集合相关的程度。

    METHOD FOR IMPROVING AN AUTOCORRECTOR USING AUTO-DIFFERENTIATION
    34.
    发明申请
    METHOD FOR IMPROVING AN AUTOCORRECTOR USING AUTO-DIFFERENTIATION 审中-公开
    使用自动差分改进自动变速器的方法

    公开(公告)号:US20140006321A1

    公开(公告)日:2014-01-02

    申请号:US13931440

    申请日:2013-06-28

    申请人: Georges Harik

    发明人: Georges Harik

    IPC分类号: G06N99/00

    CPC分类号: G06N20/00

    摘要: A method and an apparatus allow learning a program that is characterized by a set of parameters. In addition to carrying out operations of the program based on an input vector and the values of the parameters, the method also carries out automatic differentiation steps over the operations of the program to compute derivatives of the output vector with respect to the parameters to any desired order. Based on the computed derivatives, the values of the parameters of the program are updated.

    摘要翻译: 一种方法和装置允许学习以一组参数为特征的程序。 除了基于输入向量和参数值执行程序的操作之外,该方法还对程序的操作执行自动差异化步骤,以将关于参数的输出向量的导数计算为任何期望的 订购。 基于计算的导数,更新程序参数的值。

    Multiple account authentication
    35.
    发明授权
    Multiple account authentication 失效
    多帐户身份验证

    公开(公告)号:US08619978B2

    公开(公告)日:2013-12-31

    申请号:US11963543

    申请日:2007-12-21

    IPC分类号: G06F21/00

    摘要: A method and a system allow accessing several of a user's controlled access accounts by presenting the credentials of only one of the accounts. The method may include (a) storing the credentials for each of the user's accounts; (b) receiving from the user credentials corresponding to any of the user's accounts; (c) presenting the received credentials to access the corresponding account; and (d) upon successful access of the corresponding account, using the stored credentials to access one or more of the user's accounts without requiring the user to present the corresponding credentials. For each of the user's accounts, the credentials are stored encrypted, using a randomly generated key, common to all the encrypted credentials. In addition, the randomly generated key is encrypted using the credentials of each of the accounts. In that manner, plain-text copies of neither the random key nor the credentials of the accounts need to be stored.

    摘要翻译: 方法和系统允许通过仅呈现一个帐户的凭证来访问用户的受控访问帐户中的几个。 该方法可以包括(a)存储每个用户帐户的凭证; (b)从用户接收与任何用户帐户相对应的凭证; (c)提交收到的凭证以访问相应的帐户; 以及(d)在成功访问相应帐户之后,使用所存储的凭证访问用户的一个或多个帐户,而不要求用户呈现相应的凭证。 对于每个用户的帐户,凭证都使用随机生成的密钥进行加密存储,对所有加密凭证是通用的。 此外,使用每个帐户的凭据对随机生成的密钥进行加密。 以这种方式,不需要存储随机密钥和帐户的凭据的纯文本副本。

    Methods and systems for developing an instant messaging network
    36.
    发明授权
    Methods and systems for developing an instant messaging network 有权
    用于开发即时消息传递网络的方法和系统

    公开(公告)号:US08572181B1

    公开(公告)日:2013-10-29

    申请号:US13611987

    申请日:2012-09-12

    IPC分类号: G06F15/16 G06F12/00

    摘要: An instant messaging (IM) system has an IM server connected to a communication network, and logic operable on the IM server enabling a first user to browse contacts associated with a second user. In some cases the first user can add and list contacts accessed by browsing the contacts associated with the second user.

    摘要翻译: 即时消息(IM)系统具有连接到通信网络的IM服务器,并且可在IM服务器上操作的逻辑使得第一用户能够浏览与第二用户相关联的联系人。 在某些情况下,第一个用户可以通过浏览与第二个用户相关联的联系人来添加和列出访问的联系人。

    Method and apparatus for learning a probabilistic generative model for text
    37.
    发明授权
    Method and apparatus for learning a probabilistic generative model for text 有权
    用于学习文本的概率生成模型的方法和装置

    公开(公告)号:US08412747B1

    公开(公告)日:2013-04-02

    申请号:US13237861

    申请日:2011-09-20

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30684 G06F17/27

    摘要: One embodiment of the present invention provides a system that learns a generative model for textual documents. During operation, the system receives a current model, which contains terminal nodes representing random variables for words and cluster nodes representing clusters of conceptually related words. Within the current model, nodes are coupled together by weighted links, so that if a cluster node in the probabilistic model fires, a weighted link from the cluster node to another node causes the other node to fire with a probability proportionate to the link weight. The system also receives a set of training documents, wherein each training document contains a set of words. Next, the system applies the set of training documents to the current model to produce a new model.

    摘要翻译: 本发明的一个实施例提供一种学习文本文档的生成模型的系统。 在操作期间,系统接收当前模型,其包含表示用于表示概念相关词的群集的单词和群集节点的随机变量的终端节点。 在当前的模型中,节点通过加权链路耦合在一起,从而如果概率模型中的一个群集节点被触发,则从群集节点到另一个节点的加权链路会导致另一个节点以与链路权重成比例的概率发射。 该系统还接收一组训练文件,其中每个训练文档包含一组单词。 接下来,系统将该组培训文件应用于当前模型以产生新模型。