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Stop crashing your Python scripts: How to handle massive datasets on any laptop

How chunked arrays turned a frozen machine into a finished climate model ...
GitHub

Hierarchical behavior models for complex decision-making and behavior generation in robotics!

Behavior components address How to do it? and Can we do it?, while Arbitrators decide What to do? 🧠 Meta-framework Integrate diverse methods in one decision-making framework. Why not combine ...
IEEE

A Weighted Preference Optimization Service Recommendation Method Based on Knowledge Graph and Large Language Model

Abstract: Knowledge graph (KG)-based service recommendation methods address issues such as data sparsity and cold start in real-world service recommendations by integrating external knowledge as ...
IEEE

Double-Weighted Spatial Low-Rank and Superpixel-Guided Adaptive Graph Laplacian Regularization for Sparse Hyperspectral Unmixing

Abstract: Sparse unmixing (SU) performs unmixing tasks for hyperspectral images (HSIs) using a complete spectral library. Recent studies have reported that the adverse effects of noise can be ...