Abstract: As a representative partitioning clustering algorithm, fuzzy c-means (FCM) has attained great success in data clustering. However, FCM and its variants face challenges in complex scenarios, ...
Abstract: This study introduces a specialized Telegram chatbot developed for programming courses, which aims to boost student engagement and comprehension. The chatbot encompasses three principal ...
Abstract: In traditional binary classification tasks, learning algorithms conventionally distinguish positive and negative samples by leveraging fully labeled training data. However, in practical ...
Abstract: Basic Programming Practice (BPP), as an introductory course for computer science majors, aims to enable students to have basic programming skills and lay a foundation for subsequent advanced ...
This project is a step-by-step learning journey where we implement various types of Triton kernels—from the simplest examples to more advanced applications—while exploring GPU programming with Triton.
Abstract: In this article, we introduce a novel framework that combines constraint logic programming (CLP) with deep reinforcement learning (DRL) to create adaptive environments for continual learning ...
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