Artificial reinforcement learning is just one lens to evaluate organizations. However, this thought experiment taught me that ...
jobshop_scheduling/ ├── data/ # Job shop instance files │ ├── jobshop1.txt # OR-Library instances (abz, ft, la, orb, etc.) │ └── jobshop2.txt ...
Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn hidden patterns from various types of data, be it images, audio or text, to ...
Introduction: Acute graft-versus-host disease (aGVHD) is a major contributor to non-relapse mortality (NRM) in pediatric patients undergoing allogeneic hematopoietic stem cell transplantation ...
ABSTRACT: To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space ...
Abstract: The effectiveness and flexibility of greedy algorithms are comprehensively explored and proven in the current study, with an analysis of application examples in a series of optimization ...
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