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- Dictionarydiscriminative/dɪˈskrɪmɪnətɪv/
adjective
- 1. (of a person) able to recognize or make distinctions with accuracy: "she needs to be discriminative when it comes to investment of valuable resources"
- 2. making or showing an unjust or prejudicial distinction in the treatment of different categories of people, especially on the grounds of ethnicity, sex, age, or disability: "her statements were discriminative against minority groups"
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1 hour ago · This model consists of a spatiotemporal neural network for hierarchical feature learning from local to global, aiming to learn discriminative spatiotemporal EEG features for subject-independent emotion classification. The model incorporates a region attention layer to learn important coefficients for different brain regions.
1 hour ago · However, these approaches that employ pseudo-labels to enforce class-level alignment are susceptible to erroneous labels. Saito et al. proposed adversarial dropout regularization to encourage the generator to apply dropout on the classifier network, thereby generating more discriminative target features. However, this approach relies heavily on ...
1 hour ago · Liu introduced an additional discriminative awareness loss into the network to increase the discriminating ability of the intermediate layer. Considering both the discriminative awareness loss and reconstruction error, Liu formalized the channel as a sparsity-induced optimization problem and proposed a new greedy algorithm to solve it ...
1 hour ago · Abstract. Temporal information plays an important role in student performance prediction, so two interpretable feature factors, namely enthusiasm and stability, are extracted from online and offline blended temporal learning data, which can characterize students’ learning attitudes. A new transfer predicting model called LGES is proposed.
1 hour ago · Subsequently, instead of incorporating a pre-defined graph structure, we maintain the consistency between the label subspace and feature space through an adaptive graph learning process during model training. This approach enhances the robustness of the graph structure information and improves the effectiveness of feature selection.
1 day ago · Cinderella effect. In evolutionary psychology, the Cinderella effect describes the phenomenon of a higher incidence of child abuse and mistreatment by stepparents than biological parents. It takes its name from the fairy tale character Cinderella, a girl who is mistreated by her stepmother and stepsisters. Evolutionary psychologists describe ...
1 hour ago · Subsequently, based on the defined attributes for different faults, fault types are diagnosed using the extracted attributes . Consequently, in unknown operating conditions, the model only needs to extract attributes from new data and then determine the fault type based on the defined attributes, thereby achieving intelligent fault diagnosis in ...
