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    • 2. 发明申请
    • RANKING OF FEATURES
    • 功能排名
    • WO2008072140A2
    • 2008-06-19
    • PCT/IB2007/054939
    • 2007-12-06
    • KONINKLIJKE PHILIPS ELECTRONICS N.V.JANEVSKI, Angel, A., J.SCHAFFER, James, D.SIMPSON, Mark, R.
    • JANEVSKI, Angel, A., J.SCHAFFER, James, D.SIMPSON, Mark, R.
    • G06N3/12
    • G06N3/126
    • The invention relates to a method of computing a rank of at least one feature from a pool of features, the method comprising: obtaining (1) a plurality of feature subsets, each feature subset comprising features from the pool of features; and computing (2) the rank of the at least one feature from the pool of features on the basis of an occurrence of the at least one feature in a feature subset. For example, the rank of the at least one feature may be based on the frequency of occurrence of the at least one feature in the plurality of feature subsets. Thus, the method may be advantageously applied to rank features from the pool of features. A new subset of features comprising the top-rank features, which are potentially more useful than a subset of features from the pool of features, may be created from the computed feature ranks values. There may be many other advantageous uses for such a list of ranked features from the pool of features.
    • 本发明涉及一种从特征池计算至少一个特征的等级的方法,该方法包括:获得(1)多个特征子集,每个特征子集包括来自 特征池; 以及基于特征子集中的所述至少一个特征的发生来计算(2)来自所述特征池的所述至少一个特征的秩。 例如,至少一个特征的秩可以基于多个特征子集中的至少一个特征的出现频率。 因此,该方法可以有利地应用于从特征池中排列特征。 可以根据所计算的特征等级值来创建包括顶级特征的新特征子集,其可能比来自特征池的特征子集更有用。 对于这样的来自特征池的排名特征列表,可能有许多其他有利用途。