Data categories of the experimental corpus. حسب Ming Gao (115719)

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Example of a typical feature layer waveform for Category . حسب Ming Gao (115719)

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Example of Feature Vectors for Text. حسب Ming Gao (115719)

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Optimal dimension and optimal wavelet base of 14 categories. حسب Ming Gao (115719)

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Example of the specific process for generating . حسب Ming Gao (115719)

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14 Category Feature Vectors. حسب Ming Gao (115719)

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Weight Distribution of Feature Words for Two Categories. حسب Ming Gao (115719)

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Comparison Table of ATF-DF-NBM and TF-IDF-NBM. حسب Ming Gao (115719)

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Example of Class-typical Feature Vectors. حسب Ming Gao (115719)

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Data Categories of the Sogou Corpus. حسب Ming Gao (115719)

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The average accuracy, standard error, and standard deviation for comparing the classification accuracy of the 4 hand gestures at the neutral and unloaded condition to the varied we... حسب Peyton R. Young (14021643)

Classification baseline performance. حسب Doaa Sami Khafaga (21463870)

"…Further integrate the binary variant of OcOA (bOcOA) for effective feature selection, which reduces the average classification error to 0.4237 and increases CNN accuracy to 93.48%. …"

The overall algorithm structure. حسب Jiren CAO (20442214)

"…The model aimed at maximize the corporate revenue and maximize passenger travel benefit, and was solved by large neighborhood search heuristic algorithm and path size logit assignment based on capacity constraint-passenger flow increment accurate algorithm. …"

Classification of accessibility levels. حسب Xiaojie Feng (6873953)

"…The results indicate that with a classification number of 4, the Goodness of Variance Fit (GVF) for different hierarchical features exceeds 0.7, and the average silhouette coefficient reaches 0.58 at this classification number. …"

Box plots with swarm overlays for six feature selection algorithms, annotated with mean and standard deviation values. حسب Doaa Sami Khafaga (21463870)

Data Sheet 1_KDDC: a new framework that integrates kmers, dataset filtering, dimension reduction and classification algorithms to achieve immune cell heterogeneity classification.d... حسب Nan Zhang (46264)

"…</p>Results and Discussion<p>By comparing various kmer length combinations across seven different classification algorithms, we found that B cell receptor-based cellsubset classification outperforms T cell receptor-based classification, achievingan average AUC of over 96%. …"

ML algorithms used in this study. حسب Toheeb Salahudeen (21368040)

"…Six machine learning algorithms, including Random Forest, were applied and their performance was investigated in balanced and unbalanced data sets with respect to binary and multiclass classification scenarios. …"

A classification scheme of bipartite randomization algorithms, based on whether the matrix row and columns sums are preserved exactly (Fixed, <i>F</i>), preserved on average (Proportional, <i>P</i>), or unconstrained (Equiprobable, <i>E</i>). حسب Zachary P. Neal (9946331)

Time complexity. حسب Xiaotong Bai (19819284)

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Datasets information. حسب Xiaotong Bai (19819284)

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