Methods and systems for multi-participant interactive evolutionary computing
    6.
    发明授权
    Methods and systems for multi-participant interactive evolutionary computing 有权
    多参与者交互式进化计算的方法和系统

    公开(公告)号:US07356518B2

    公开(公告)日:2008-04-08

    申请号:US10922777

    申请日:2004-08-20

    IPC分类号: G06F15/18 G06N3/00 G06N3/12

    CPC分类号: G06N3/126

    摘要: Disclosed are methods, systems, and processor program products that include executing an optimization scheme to obtain a first solution set, presenting the first solution set to at least two users, receiving rankings of the first solution set from the at least two users, aggregating the rankings, and, generating a second solution set based on the aggregated rankings. The optimization scheme can include a genetic algorithm. In embodiments, at least a part of the first solution set can be presented to the users based on the parts of the solution set associated with the user (e.g., user's knowledge).

    摘要翻译: 公开了方法,系统和处理器程序产品,其包括执行优化方案以获得第一解决方案集,向至少两个用户呈现第一解决方案集合,从至少两个用户接收第一解决方案集的排名, 排名,并且基于聚合排名生成第二解决方案集。 优化方案可以包括遗传算法。 在实施例中,可以基于与用户相关联的解集合的部分(例如,用户的知识)将第一解集的至少一部分呈现给用户。

    METHODS AND SYSTEMS FOR MULTI-PARTICIPANT INTERACTIVE EVOLUTIONARY COMPUTING
    7.
    发明申请
    METHODS AND SYSTEMS FOR MULTI-PARTICIPANT INTERACTIVE EVOLUTIONARY COMPUTING 有权
    多参与交互式演化计算的方法与系统

    公开(公告)号:US20100185572A1

    公开(公告)日:2010-07-22

    申请号:US12621071

    申请日:2009-11-18

    IPC分类号: G06N3/12

    CPC分类号: G06N3/126

    摘要: Disclosed are methods, systems, and processor program products that include executing an optimization scheme to obtain a first solution set, presenting the first solution set to at least two users, receiving rankings of the first solution set from the at least two users, aggregating the rankings, and, generating a second solution set based on the aggregated rankings The optimization scheme can include a genetic algorithm. In embodiments, at least a part of the first solution set can be presented to the users based on the parts of the solution set associated with the user (e.g., user's knowledge).

    摘要翻译: 公开了方法,系统和处理器程序产品,其包括执行优化方案以获得第一解决方案集,向至少两个用户呈现第一解决方案集合,从至少两个用户接收第一解决方案集的排名, 排名,并且基于聚合排名生成第二解决方案集合优化方案可以包括遗传算法。 在实施例中,可以基于与用户相关联的解集合的部分(例如,用户的知识)将第一解集的至少一部分呈现给用户。

    Methods and apparatus or interactive name searching techniques
    8.
    发明授权
    Methods and apparatus or interactive name searching techniques 有权
    方法和设备或交互式名称搜索技术

    公开(公告)号:US08725755B2

    公开(公告)日:2014-05-13

    申请号:US12119028

    申请日:2008-05-12

    IPC分类号: G06F17/30

    CPC分类号: G06N3/126 G06F17/30716

    摘要: Methods and apparatus include presenting an initial set of names to a user. The user selects a set of names from those presented. An Interactive Evolutionary Algorithm (IEA) extracts features of each selected name from a database of names and features to form a feature set. The IEA forms a set of match features that are chosen from the feature set according to a priority function and/or weighting of the features, either of which may vary in succeeding iterations. The IEA searches the database to obtain a candidate set of names, where each name has features matching the match features. One or more names is chosen from the candidate set and added into a presentation set of names. The IEA may repeat the formation of the match features, candidate set, and selection of one or more names from the candidate set until the new presentation set is complete.

    摘要翻译: 方法和装置包括向用户呈现一组初始名称。 用户从提供的名称中选择一组名称。 交互式进化算法(IEA)从名称和特征数据库中提取每个选定名称的特征,形成一个特征集。 IEA形成一组匹配特征,这些匹配特征根据优先级功能和/或特征的加权从特征集中选择,其中任一个可以在随后的迭代中变化。 IEA搜索数据库以获取候选名称集,其中每个名称具有匹配匹配特征的特征。 从候选集中选择一个或多个名称,并将其添加到名称的表示集中。 IEA可以重复形成匹配特征,候选集合以及从候选集合中选择一个或多个名称直到新的呈现集合完成。

    Method and system for fast, generic, online and offline, multi-source text analysis and visualization
    9.
    发明授权
    Method and system for fast, generic, online and offline, multi-source text analysis and visualization 有权
    快速,通用,在线和离线,多源文本分析和可视化的方法和系统

    公开(公告)号:US08103682B2

    公开(公告)日:2012-01-24

    申请号:US12862242

    申请日:2010-08-24

    IPC分类号: G06F7/00

    CPC分类号: G06F17/30713

    摘要: Methods and systems for text data analysis and visualization enable a user to specify a set of text data sources and visualize the content of the text data sources in an overview of salient features in the form of a network of words. A user may focus on one or more words to provide a visualization of connections specific to the focused word(s). The visualization may include clustering of relevant concepts within the network of words. Upon selection of a word, the context thereof, e.g., links to articles where the word appears, may be provided to the user. Analyzing may include textual statistical correlation models for assigning weights to words and links between words. Displaying the network of words may include a force-based network layout algorithm. Extracting clusters for display may include identifying “communities of words” as if the network of words was a social network.

    摘要翻译: 用于文本数据分析和可视化的方法和系统使得用户能够指定一组文本数据源,并以单词形式的显着特征的概述来可视化文本数据源的内容。 用户可以专注于一个或多个单词以提供特定于聚焦单词的连接的可视化。 可视化可以包括在网络中的相关概念的聚类。 在选择一个单词之后,可以将其上下文(例如,出现该单词的文章的链接)提供给用户。 分析可以包括用于为单词和单词之间的链接分配权重的文本统计相关模型。 显示单词网络可能包括基于力的网络布局算法。 提取用于显示的集群可以包括识别“单词的社区”,就好像网络的网络是社交网络一样。

    Methods and systems for multi-participant interactive evolutionary computing
    10.
    发明授权
    Methods and systems for multi-participant interactive evolutionary computing 有权
    多参与者交互式进化计算的方法和系统

    公开(公告)号:US07966272B2

    公开(公告)日:2011-06-21

    申请号:US12621071

    申请日:2009-11-18

    IPC分类号: G06F15/18 G06N3/00 G06N3/12

    CPC分类号: G06N3/126

    摘要: Disclosed are methods, systems, and processor program products that include executing an optimization scheme to obtain a first solution set, presenting the first solution set to at least two users, receiving rankings of the first solution set from the at least two users, aggregating the rankings, and, generating a second solution set based on the aggregated rankings. The optimization scheme can include a genetic algorithm. In embodiments, at least a part of the first solution set can be presented to the users based on the parts of the solution set associated with the user (e.g., user's knowledge).

    摘要翻译: 公开了方法,系统和处理器程序产品,其包括执行优化方案以获得第一解决方案集,向至少两个用户呈现第一解决方案集合,从至少两个用户接收第一解决方案集的排名, 排名,并且基于聚合排名生成第二解决方案集。 优化方案可以包括遗传算法。 在实施例中,可以基于与用户相关联的解集合的部分(例如,用户的知识)将第一解集的至少一部分呈现给用户。