Titlebook: Engineering Applications of Neural Networks; 25th International C Lazaros Iliadis,Ilias Maglogiannis,Chrisina Jayne Conference proceedings

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書目名稱Engineering Applications of Neural Networks影響因子(影響力)




書目名稱Engineering Applications of Neural Networks影響因子(影響力)學(xué)科排名




書目名稱Engineering Applications of Neural Networks網(wǎng)絡(luò)公開度




書目名稱Engineering Applications of Neural Networks網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Engineering Applications of Neural Networks被引頻次




書目名稱Engineering Applications of Neural Networks被引頻次學(xué)科排名




書目名稱Engineering Applications of Neural Networks年度引用




書目名稱Engineering Applications of Neural Networks年度引用學(xué)科排名




書目名稱Engineering Applications of Neural Networks讀者反饋




書目名稱Engineering Applications of Neural Networks讀者反饋學(xué)科排名

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https://doi.org/10.1007/978-1-4615-4997-0RL (reinforcement learning) for this task. In total, we compare six different RL algorithms. The utilized algorithms are Q-Learning, MAB (Multi-Armed Bandit), MCTS (Monte Carlo Tree Search), DQN (Deep Q Learning), A2C (Advantage Actor Critic), and PPO (Proximal Policy Optimization). Almost all algor

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迅速飛過

https://doi.org/10.1007/978-3-7091-5551-6niversal threshold for table selection. To validate this innovative approach, a custom dataset was curated, leveraging the Spider dataset for NLQ-to-SQL tasks, and a comprehensive set of experiments was conducted using various language models, including GPT-4, GPT-3.5, and DeBERTa..Results demonstra

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