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Exact(8)
We utilize two classification methods a support vector machine (SVM) classifier and an exhaustive rule classifier.
These SMISPs are used to train two distinct classifiers, a support vector machine and an easy to interpret exhaustive rule classifier.
We use an exhaustive rule classifier to generate the conjunctive rule of a given set of attributes that maximizes the information gain.
The advantage of our exhaustive rule classifier is that the thresholds for different attributes are determined simultaneously and optimally, in contrast to methods, such as decision trees, that greedily select and set attributes and thresholds.
Unlike previous work that relied on a subjective evaluation of histograms to set rule thresholds (Tuncbag et al., 2009), our exhaustive rule classifier uses information theoretic techniques to automatically identify the optimal classification rules from the training set.
This benchmark set is then used to train both an exhaustive rule classifier, which generates an easy to interpret filter, and an SVM classifier, which produces a numerical score.
Similar(51)
Although our search was exhaustive, we cannot rule out (given the retrospective study design) the possibility that some cardiovascular-related deaths were not included in our database or were attributed to "unknown causes" and have not been captured in the analysis.
Although the notionally independent free zone authority will regulate Saadiyat under a clear and exhaustive set of rules, it has yet to prove itself.At least until Saadiyat takes off, foreigners will prefer to live in Dubai.
As the Pm genome is not yet assembled, our in silico search cannot be considered as exhaustive and we cannot rule out the possibility that additional Hh gene(s) remain to be discovered.
Yet even the strict rules and exhaustive planning have not eliminated all the bugs.
In his book (Wolfram 2002), he gave an exhaustive study of these rules associating cellular automata and its applicability in distinct domains like biology, physics, sociology.
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