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Lemma 9. The Gini-entropy function G ˜ g 𝐺˜𝑔 is strongly concave with respect to l 2 𝑙2-norm with modulus 2, and thus the following holds G ˜ g ( π ) − ( 1 − β ) G ˜ g ( π 0 ) − β G ˜ g ( π 1 ) ≥ β ( 1 − β ) ∥ π ...
Regarding the second aim, we pose the following research question: Do adolescents with more problematic patterns of smartphone use report a higher level of psychological distress than adolescents with less problematic smartphone use? 2. Materials and Methods 2.1. Participants and Procedures Three hundre...
In the second experiment, the students with high class loyalty are found using the fuzzy model or using the original time taken and the number of actions. In this experiment, if the student obtained “high” membership in the fuzzy results when solving one question, then two points are awarde...
Lemma 9. The Gini-entropy function G ˜ g 𝐺˜𝑔 is strongly concave with respect to l 2 𝑙2-norm with modulus 2, and thus the following holds G ˜ g ( π ) − ( 1 − β ) G ˜ g ( π 0 ) − β G ˜ g ( π 1 ) ≥ β ( 1 − β ) ∥ π ...
Figure 9. The structure of Δ-Σ modulator (a) and the comparison of input and output signal (b). The distortion caused by this type of modulation makes the method imperfect for Class D amplifiers. A series of improved designs have been proposed; for example, A class D GaN audio amplif...
proposed the forward compatible training (FACT) method [9]. FACT generates virtual classes and incorporates new classes in a forward-compatible setting while retaining knowledge of previously learned classes. This strategy ensures that the model maintains its performance in prior classes while ...
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share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up Endorse textsms Comment first_page settings Order Article Reprints Open AccessArticle The Evaluation of Comprehensive Teaching and Research Efficiency and Its Key Influencing Factors Analysis of “Double First...
(9) Recall or sensitivity is a metric of the model’s completeness. It quantifies the model’s prowess in accurately identifying all samples harboring tumors, with an emphasis on minimizing false negatives, as defined in Equation (10). Recall(ℝ)=𝑇𝑃𝑇𝑃+𝐹𝑁Recall(R)=TPTP...