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    • 1. 发明授权
    • Indicating data buffer by last bit flag
    • 用最后一位标志指示数据缓冲区
    • US07904617B2
    • 2011-03-08
    • US12100739
    • 2008-04-10
    • Claude BassoJean Louis CalvignacMarco C. HeddesJoseph Franklin LoganFabrice Jean Verplanken
    • Claude BassoJean Louis CalvignacMarco C. HeddesJoseph Franklin LoganFabrice Jean Verplanken
    • G06F5/00G06F15/16
    • H04L49/901H04L49/103H04L49/3018H04L49/90H04L49/9094
    • A method and structure for determining when a frame of information comprised of one or more buffers of data being transmitted in a network processor has completed transmission is provided. The network processor includes several control blocks, one for each data buffer, each containing control information linking one buffer to another. Each control block has a last bit feature which is a single bit settable to “one” or “zero” and indicates when the data buffer having the last bit is transmitted. The last bit is in a first position when an additional data buffer is to be chained to a previous data buffer indicating an additional data buffer is to be transmitted and a second position when no additional data buffer is to be chained to a previous data buffer. The position of the last bit is communicated to the network processor indicating the ending of a particular frame.
    • 提供了一种用于确定在网络处理器中正在发送的一个或多个数据缓冲器组成的信息帧何时完成传输的方法和结构。 网络处理器包括几个控制块,每个数据缓冲器一个,每个包含将一个缓冲器链接到另一个的控制信息。 每个控制块具有最后一位特征,其是可设置为“一”或“零”的单个位,并且指示何时发送具有最后位的数据缓冲器。 当附加数据缓冲器被链接到先前的数据缓冲器,指示要发送附加数据缓冲器时,最后一位处于第一位置,而当没有附加数据缓冲器被链接到先前数据缓冲器时,最后一位处于第一位置。 最后一位的位置被传送到指示特定帧的结束的网络处理器。
    • 4. 发明申请
    • Method and system for sample data selection to test and train predictive algorithms of customer behavior
    • 用于样本数据选择的方法和系统,用于测试和训练客户行为的预测算法
    • US20020169652A1
    • 2002-11-14
    • US09838732
    • 2001-04-19
    • International Business Mahines Corporation
    • Frederick D. Busche
    • G06F017/60
    • G06Q30/02
    • A method and system for sample data selection to test and train predictive algorithm of customer behavior are provided. The method and system generate frequency distributions of a customer database data set, training data set and testing data set and compare the frequency distributions of geographical characteristics to determine if there are discrepancies. If the discrepancies are above a predetermined tolerance, one or more of the data sets may not be representative of the customer database taking into account geographical influences on customer behavior. Thus, recommendations for improving the training data set and/or testing data set are then provided such that the data set is more representative of the customer database. In this way, nullnuggetingnull of customers is accounted for in the training and/or testing data sets.
    • 提供了一种样本数据选择方法和系统,用于测试和训练客户行为的预测算法。 该方法和系统生成客户数据库数据集,训练数据集和测试数据集的频率分布,并比较地理特征的频率分布,以确定是否存在差异。 如果差异高于预定公差,则考虑到对客户行为的地理影响,数据集中的一个或多个可能不代表客户数据库。 因此,提供了用于改进训练数据集和/或测试数据集的建议,使得数据集更能代表客户数据库。 以这种方式,在培训和/或测试数据集中考虑了客户的“核心”。