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  • noun

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a person who creates classifications

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a word or morpheme used in some languages in certain contexts (such as counting) to indicate the semantic class to which the counted item belongs

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References in periodicals archive ?
The combination revealed higher similarity in IDH cases, and fewer appearances in non-IDH cases were selected as a classifier for further investigation.
According to the current research works for steganalysis of content-adaptive JPEG steganography, the designs of steganalysis feature and classifier are both important for the improvement of the detection accuracy.
In the first study, researchers used the BRAF classifier to blindly evaluate 264 indeterminate thyroid nodule fine needle aspiration samples for the BRAF V600E mutation.
However, deep neural networks (DNNs) may offer a potentially superior classifier for the speech of the PWP over the conventional methods.
Kavitha et al [1] proposed a new efficient method for detecting tumors in brain images using Genetic Algorithm (GA) with SVM classifier.
FLSmidth reported that in the pilot trials conducted at Rana Gruber's facility, the Reflux classifier technology demonstrated consistent separation and high separation efficiency in the 0-150 micrometer (pm) size fraction from material currently discarded to tailings.
AdaBoost was used for training boosted classifier using (Equation 1) Xy(a) = (Eq.
Keywords: decision tree, lazy classifier, multilayer perceptron, K-means, hierarchical clustering
Diagnostics company Veracyte Inc (NasdaqGM:VCYT) revealed on Wednesday that it will extend access to its Afirma Gene Expression Classifier (GEC) via an agreement with Quest Diagnostics (NYSE:DGX) to meet growing physician demand for innovative genomic testing services to improve thyroid cancer diagnosis.
Therefore, DNNs can be used as a classifier for features extracted from MEG signals.
The current methods for multiclass superfamily recognition take the outputs of the binary classifier (i.
Authors first compared different classifiers such as Decision Tree, k-Nearest Neighbor, Bayes Network and Naive-Bayes classifiers and after comparison authors used only Decision Tree classifier for its ability to provide good balancing ratio between accuracy and complexity.
One classifier was made for the Catuai cultivar (Catuai classifier), another for the Paradise cultivar (Paradise classifier) and a final one for both cultivars (Set classifier), which had the objective to separate the stained areas and nonstained areas of the coffee seeds submitted to LERCAFE test.
It focuses on four problems: the feature presentation for opinion analysis, multiple classifiers ensemble learning for opinion analysis, the strategy of classifier set selection, and online review spam detection.
At the same time, the super parent Bias classifier is proposed, the model assumes that there is a property variable as the other attributes of the common parent node (called super father) (Hyakusoku, H.