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    • 1. 发明申请
    • Event Prediction
    • 事件预测
    • US20090043593A1
    • 2009-02-12
    • US11835985
    • 2007-08-08
    • Ralf HerbrichThore GraepelOnno ZoeterJoaquin Quinonero CandelaPhillip Trelford
    • Ralf HerbrichThore GraepelOnno ZoeterJoaquin Quinonero CandelaPhillip Trelford
    • G06F17/18G06Q99/00
    • G06Q10/04G06Q30/0185
    • There are many situations in which it is desired to predict outcomes of events. In an example, an event prediction system is described which receives variables for a proposed event. The system accesses learnt statistics describing belief about weights associated with the variables and uses the weights to determine probability information that the proposed event will have a specified outcome. The process involves combining the accessed statistics and mapping them into a number representing the probability. In another example, a machine learning process using assumed density filtering is used to learn the statistics from data about observed events. The event prediction system may be used as part of any suitable type of system such as an internet advertising system, an email filtering system, or a fraud detection system.
    • 有很多情况需要预测事件的结果。 在一个示例中,描述了接收所提出事件的变量的事件预测系统。 系统访问学习的统计数据,描述与变量相关联的权重的信念,并使用权重来确定拟议事件将具有指定结果的概率信息。 该过程涉及组合所访问的统计数据并将其映射成表示概率的数字。 在另一个例子中,使用假设浓度滤波的机器学习过程来从关于观测事件的数据中学习统计数据。 事件预测系统可以用作任何合适类型的系统的一部分,例如互联网广告系统,电子邮件过滤系统或欺诈检测系统。