ملف الباحث
Zebin He
ورقة واحدة في مجموعة PaperMetrix
المنشورات
أوراق هذا المؤلف
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Two-Stage Feature Generation with Transformer and Reinforcement Learning
2025 · arXiv (Cornell University)
Feature generation is a critical step in machine learning, aiming to enhance model performance by capturing complex relationships within the data and generating meaningful new features. Traditional feature generation methods heavily rely on domain expertise …