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    • 1. 发明申请
    • Methods and apparatus for interactive document clustering
    • 交互式文档聚类的方法和装置
    • US20090287668A1
    • 2009-11-19
    • US12153331
    • 2008-05-16
    • David A. EvansVictor M. SheftelJeffrey Bennett
    • David A. EvansVictor M. SheftelJeffrey Bennett
    • G06F7/06G06F17/30
    • G06F16/355
    • A computer-based process is described for identifying clusters of documents that have some degree of similarity from among a set of documents that permits user interaction with the process. A plurality of seed candidate documents is identified. Candidate probes based upon the seed candidate documents are generated, and information regarding the candidate probes is displayed to a user. User input regarding the candidate probes is received, and a set of probes from which to form clusters of documents are defined based upon the user input regarding the candidate probes. A probe is selected and a cluster of documents is formed from among available documents not yet clustered using the probe. The process can be repeated to generate further clusters. The process can be implemented with a computer system, and associated programming instructions can be contained within a computer readable medium.
    • 描述了一种基于计算机的过程,用于识别与允许用户与过程交互的一组文档之间具有一定程度的相似性的文档簇。 识别多个种子候选文件。 生成基于种子候选文档的候选探针,并且向用户显示关于候选探针的信息。 接收关于候选探针的用户输入,并且基于关于候选探针的用户输入来定义用于形成文档簇的一组探测。 选择一个探针,并且从尚未使用探针聚类的可用文档中形成一组文档。 可以重复该过程以产生更多的聚类。 该过程可以用计算机系统实现,并且相关联的编程指令可以包含在计算机可读介质内。
    • 2. 发明申请
    • Hybrid method for simulation optimization
    • 混合方法进行模拟优化
    • US20080312885A1
    • 2008-12-18
    • US11811820
    • 2007-06-12
    • Tianjiao ChuVictor M. SheftelJeffrey K. BennettDavid A. Evans
    • Tianjiao ChuVictor M. SheftelJeffrey K. BennettDavid A. Evans
    • G06F17/10
    • G06F17/11
    • A computer-implemented method of solving a system optimization problem having a plurality of parameters of unknown value is comprised of randomly generating sets of values for unknown parameters within an the optimization problem. A population of original candidate solutions is generated by applying an algorithm for deterministic optimization to each of the sets of values. The population of solutions is ranked. Additional candidate solutions are iteratively generated from at least certain of the solutions in the population. The validity of the additional candidate solutions is checked, and the valid additional candidate solutions are added to the population of solutions. The population of solutions is re-ranked and at least one solution from the population of solutions is output when a predetermined criterion is met whereby the values for the parameters in the output solution may be used for controlling a system.
    • 解决具有未知值的多个参数的系统优化问题的计算机实现的方法包括在优化问题内随机生成未知参数的值集合。 通过对每个值集合应用用于确定性优化的算法来生成原始候选解决方案的群体。 解决方案人数排名。 从群体中的至少某些解决方案迭代生成其他候选解决方案。 检查附加候选解决方案的有效性,并将有效的附加候选解决方案添加到解决方案群体中。 解决方案的群体被重新排序,并且当满足预定标准时输出来自解决方案群体的至少一个解决方案,由此输出解决方案中的参数的值可以用于控制系统。