The field of privacy-preserving Natural Language Processing has risen in popularity, particularly at a time when concerns about privacy grow with the proliferation of Large Language Models. One solution consistently a...
详细信息
Samples collected from most industrial processes have two challenges: one is contaminated by the non-Gaussian noise, and the other is gradually *** feature can obviously reduce the accuracy and generalization of model...
详细信息
Samples collected from most industrial processes have two challenges: one is contaminated by the non-Gaussian noise, and the other is gradually *** feature can obviously reduce the accuracy and generalization of models. To handle these challenges, a novel method, named the robust online extreme learning machine(RO-ELM), is proposed in this paper, in which the least mean p-power criterion is employed as the cost function which is to boost the robustness of the ELM, and the forgetting mechanism is introduced to discard the obsolescence samples. To investigate the performance of the ROELM, experiments on artificial and real-world datasets with the non-Gaussian noise are performed, and the datasets are from regression or classification problems. Results show that the RO-ELM is more robust than the ELM, the online sequential ELM(OS-ELM) and the OSELM with forgetting mechanism(FOS-ELM). The accuracy and generalization of the RO-ELM models are better than those of other models for online learning.
The decomposition-based many-objective evolutionary algorithms (MaOEAs) generally decompose a many-objective optimization problem into several scalar subproblems for collaborative optimization using the aggregation fu...
详细信息
Eigenvalue decomposition (EVD) is a fundamental yet time-consuming operation with extensive applications in IoT. When the matrix dimension reaches millions, resource-limited IoT devices struggle to perform such comput...
详细信息
Adverse switch mastering for automated Segmentation of brain Tumors is a novel method of deep studying-based scientific photo segmentation that employs a generative opposed network to transfer learned expertise from a...
详细信息
Major traffic accidents are attributed to driver fatigue, according to study on the topic. Driver drowsiness is a state in which the driver of a car is on the verge of falling asleep or losing consciousness. It can be...
详细信息
This technical summary examines the design and violation analysis of analog and virtual circuits with bilateral complementary switches. The primary consciousness is on examining the electric traits and operation of sw...
详细信息
Semi-supervised adversarial transfer gaining knowledge of (SATL) has been proposed as a powerful method for automatic pores and skin lesion segmentation. This approach aims to transfer knowledge from a categorized sup...
详细信息
In the dynamic landscape of modern urban environments, the optimization of transportation and traffic management systems is paramount for ensuring efficiency, sustainability, and the overall well-being of inhabitants....
详细信息
Deep mastering the usage of convolutional neural Nets (CNNs) has been a popular technique for image categories. A CNN is designed to inversely clear up the mission today's representing input data in a significant ...
详细信息
暂无评论