This repository contains the implementation of the granular ball-based feature selection algorithm for multi-label learning, as described in the research paper published in Knowledge-Based Stems. Note ...

Abstract: The Multi-Knapsack Problem (MKP) is a fundamental challenge in operations research and combinatorial optimization. Quantum computing introduces new possibilities for solving MKP using ...

BAC (Block-wise Adaptive Caching) is a novel acceleration technique designed specifically for Transformer-based Diffusion Policies in robotic manipulation tasks. Our method achieves significant ...

Abstract: This article introduces the Hybrid Quantum-Classical Multi-Cut Benders’ Decomposition (HQC-Bend) algorithm, an efficient, open-source Python script designed to tackle complex Mixed-Binary ...

LinkedIn's algorithm has changed, making old tactics obsolete. Align your profile with content topics. Prioritize "saves" as the key engagement metric by creating valuable, referenceable content. Post ...