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 ...
Over two weeks and nearly 2,000 Claude Code sessions costing about $20,000 in API fees, the AI model agents reportedly ...
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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