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    Method and apparatus for presenting feature importance in predictive modeling
    51.
    发明授权
    Method and apparatus for presenting feature importance in predictive modeling 失效
    在预测建模中呈现特征重要性的方法和装置

    公开(公告)号：US07561158B2

    公开(公告)日：2009-07-14

    申请号：US11329437

    申请日：2006-01-11

    申请人： Naoki Abe ,  Edwin Peter Dawson Pednault ,  Fateh Ali Tipu

    发明人： Naoki Abe ,  Edwin Peter Dawson Pednault ,  Fateh Ali Tipu

    IPC分类号： G06T11/20

    CPC分类号： G06T11/206

    摘要： Feature importance information available in a predictive model with correlation information among the variables is presented to facilitate more flexible choices of actions by business managers. The displayed feature importance information combines feature importance information available in a predictive model with correlational information among the variables. The displayed feature importance information may be presented as a network structure among the variables as a graph, and regression coefficients of the variables indicated on the corresponding nodes in the graph. To generate the display, a regression engine is called on a set of training data that outputs importance measures for the explanatory variables for predicting the target variable. A graphical model structural learning module is called that outputs a graph on the explanatory variables of the above regression problem representing the correlational structure among them. The feature importance measure, output by the regression engine, is displayed for each node in the graph, as an attribute, such as color, size, texture, etc, of that node in the graph output by the graphical model structural learning module.

    摘要翻译： 提供了具有变量之间相关性信息的预测模型中的特征重要度信息，以便企业管理者更灵活地选择行动。 显示的特征重要性信息将预测模型中可用的特征重要性信息与变量之间的相关信息相结合。 所显示的特征重要性信息可以作为图形中的变量之间的网络结构呈现，并且在图中的相应节点上指示的变量的回归系数。 为了生成显示，在一组训练数据上调用回归引擎，该训练数据输出用于预测目标变量的解释变量的重要度量。 一个图形模型结构学习模块被称为输出上述回归问题的解释变量的图表，表示它们之间的相关性结构。 由图形模型结构学习模块输出的图形中的该节点的颜色，大小，纹理等属性显示图形中每个节点的回归引擎输出的特征重要性度量。

    Resource-Light Method and apparatus for Outlier Detection
    52.
    发明申请
    Resource-Light Method and apparatus for Outlier Detection 失效
    资源光方法和异常检测装置

    公开(公告)号：US20080022177A1

    公开(公告)日：2008-01-24

    申请号：US11863704

    申请日：2007-09-28

    申请人： Naoki Abe ,  John Langford

    发明人： Naoki Abe ,  John Langford

    IPC分类号： G06F11/30

    CPC分类号： G06N99/005 ,  Y10S707/99936 ,  Y10S707/99943

    摘要： Outlier detection methods and apparatus have light computational resources requirement, especially on the storage requirement, and yet achieve a state-of-the-art predictive performance. The outlier detection problem is first reduced to that of a classification learning problem, and then selective sampling based on uncertainty of prediction is applied to further reduce the amount of data required for data analysis, resulting in enhanced predictive performance. The reduction to classification essentially consists in using the unlabeled normal data as positive examples, and randomly generated synthesized examples as negative examples. Application of selective sampling makes use of an underlying, arbitrary classification learning algorithm, the data labeled by the above procedure, and proceeds iteratively. Each iteration consisting of selection of a smaller sub-sample from the input data, training of the underlying classification algorithm with the selected data, and storing the classifier output by the classification algorithm. The selection is done by essentially choosing examples that are harder to classify with the classifiers obtained in the preceding iterations. The final output hypothesis is a voting function of the classifiers obtained in the iterations of the above procedure.

    摘要翻译： 异常值检测方法和装置具有较轻的计算资源需求，特别是对存储要求的要求，而且具有最先进的预测性能。 异常值检测问题首先降低到分类学习问题，然后应用基于预测不确定度的选择性抽样来进一步减少数据分析所需的数据量，从而提高预测性能。 归类分类主要在于使用未标记的正常数据作为正例，随机生成合成实例作为阴性实例。 选择性抽样的应用使用了基础的，任意的分类学习算法，由上述过程标记的数据，并且迭代地进行。 每个迭代包括从输入数据中选择较小的子样本，对所选数据训练底层分类算法，以及通过分类算法存储分类器输出。 选择是通过基本上选择难以对上述迭代中获得的分类器进行分类的示例来完成的。 最终输出假设是在上述过程的迭代中获得的分类器的投票函数。

    System and method for marketing mix optimization for brand equity management
    54.
    发明申请
    System and method for marketing mix optimization for brand equity management 失效
    用于品牌资产管理的营销组合优化的系统和方法

    公开(公告)号：US20070174105A1

    公开(公告)日：2007-07-26

    申请号：US11335684

    申请日：2006-01-20

    申请人： Naoki Abe ,  Edwin Pednault

    发明人： Naoki Abe ,  Edwin Pednault

    IPC分类号： G06F17/30

    CPC分类号： G06Q30/0244 ,  G06Q10/06315 ,  G06Q10/0637 ,  G06Q30/02 ,  G06Q30/0201

    摘要： A method of marketing optimization with respect to brand lifetime management formulates a problem of brand equity maximization utilizing Markov Decision Process (MDP) thereby casting brand equity management as a long term regard optimization problem in MDP, The marketing mix is optimized by formulating the mix as actions in MDP and, utilizing historical marketing and transaction data, aspects of the MDP are estimated.

    摘要翻译： 关于品牌生命周期管理的营销优化方法利用马尔科夫决策过程（MDP）制定了品牌资产最大化的问题，从而将品牌资产管理作为MDP中的长期考虑优化问题，将营销组合优化为 MDP行动，利用历史营销和交易数据，估计MDP的各个方面。

    Entrapping immobilization pellets and process for producing the same
    55.
    发明申请
    Entrapping immobilization pellets and process for producing the same 审中-公开
    包埋固定颗粒及其制备方法

    公开(公告)号：US20070015268A1

    公开(公告)日：2007-01-18

    申请号：US11481023

    申请日：2006-07-06

    申请人： Koutarou Aoyama ,  Naoki Abe ,  Tatsuo Sumino

    发明人： Koutarou Aoyama ,  Naoki Abe ,  Tatsuo Sumino

    IPC分类号： C12N11/04 ,  C12N1/20

    CPC分类号： C12N11/04 ,  C12N11/08

    摘要： The present invention produces entrapping immobilization pellets which have high pellet strength and retain high and stable microbial activity (nitrification activity) even if a low concentration of a material involved in immobilization (such as an immobilizing material or polymerization initiator) used. The entrapping immobilization pellets in which microorganisms are entrapped and immobilized in an immobilizing material comprise a filler having a plate-like and/or needle-like crystal structure in the immobilizing material.

    摘要翻译： 本发明即使使用低固定化材料（例如固定化材料或聚合引发剂），也具有高的粒子强度并保持高稳定的微生物活性（硝化活性）的截留固定化丸剂。 将微生物捕获并固定在固定材料中的捕获固定化颗粒包括在固定材料中具有板状和/或针状晶体结构的填料。

    Metal member and electric contact using same
    57.
    发明申请
    Metal member and electric contact using same 审中-公开
    金属构件和电接点使用相同

    公开(公告)号：US20050196634A1

    公开(公告)日：2005-09-08

    申请号：US11071816

    申请日：2005-03-03

    申请人： Naoki Abe ,  Masayuki Nishina ,  Hiroshi Miyazawa

    发明人： Naoki Abe ,  Masayuki Nishina ,  Hiroshi Miyazawa

    IPC分类号： C25D5/14 ,  B32B15/18 ,  C25D5/16 ,  C25D5/48 ,  C25D7/00

    CPC分类号： C25D5/14 ,  B32B15/01 ,  B32B15/018 ,  C22C5/02 ,  C22C9/00 ,  C22C19/00 ,  Y10T428/12493 ,  Y10T428/12646 ,  Y10T428/12771

    摘要： A metal member includes: a metal base; a first plating layer of nickel and unavoidable impurities, which is formed on the metal base; a second plating layer of nickel, phosphorus and unavoidable impurities, which is formed on the first plating layer; a third plating layer of a gold alloy and unavoidable impurities, which is formed on the second plating layer; and a fourth layer formed on the third plating layer by a sealing process, wherein the first plating layer has a thickness of 0.5 to 2.5 μm and the second plating layer has a thickness of 0.05 to 0.5 μm, the sum of the thickness of the first plating layer and the thickness of the second plating layer being in the range of from 0.60 μm to 2.5 μm, and the third plating layer having a thickness of not less than 0.05 μm.

    摘要翻译： 金属构件包括：金属基底; 形成在金属基体上的镍和不可避免的杂质的第一镀层; 形成在第一镀层上的镍，磷和不可避免的杂质的第二镀层; 形成在第二镀层上的金合金的第三镀层和不可避免的杂质; 以及通过密封处理在所述第三镀层上形成的第四层，其中所述第一镀层的厚度为0.5〜2.5μm，所述第二镀层的厚度为0.05〜0.5μm，所述第一镀层的厚度之和为 所述第二镀覆层的厚度在0.60μm〜2.5μm的范围内，所述第三镀层的厚度为0.05μm以上。

    2-substituted benzothiazole derivatives and prophylactic and therapeutic agents for the treatment of diabetic complications
    58.
    发明授权
    2-substituted benzothiazole derivatives and prophylactic and therapeutic agents for the treatment of diabetic complications 失效
    2-取代苯并噻唑衍生物和治疗糖尿病并发症的预防和治疗剂

    公开(公告)号：US5700819A

    公开(公告)日：1997-12-23

    申请号：US562061

    申请日：1995-11-22

    申请人： Tomoji Aotsuka ,  Naoki Abe ,  Naoki Ashizawa

    发明人： Tomoji Aotsuka ,  Naoki Abe ,  Naoki Ashizawa

    IPC分类号： C07D277/64 ,  C07D277/74 ,  A61K31/425

    CPC分类号： C07D277/74 ,  C07D277/64

    摘要： Unique benzothiazole derivatives which exert superior aldose redactase inhibiting actions are unexpectedly and advantageously useful in the prophylactic and therapeutic treatment of diabetic complications. A benzothiazole derivative compound of the formula (1): ##STR1## wherein X is halogen, R.sup.1 and R.sup.2, which are the same or different, are each independently hydrogen or halogen, A is a methylene group or a sulfur atom, and --B--COOR.sup.3 is a group as defined in the specification; or a pharmaceutically acceptable salt and a pharmaceutical composition comprising the same which is a useful prophylactic or therapeutic agent for the treatment of diabetic complications.

    摘要翻译： 发挥优异的醛糖再激酶抑制作用的独特的苯并噻唑衍生物意外和有利地用于预防和治疗糖尿病并发症。 式（1）的苯并噻唑衍生物化合物：其中X为卤素，R 1和R 2相同或不同，各自独立地为氢或卤素，A为亚甲基或硫原子， 和-B-COOR3是说明书中定义的基团; 或其药学上可接受的盐和包含其的药物组合物，其是用于治疗糖尿病并发症的有用的预防或治疗剂。