ลงชื่อเข้าใช้
ข้อมูลเชิงลึก - End-to-end training in ML models
CaVE: A Cone-Aligned Approach for Fast Predict-then-optimize with Binary Linear Programs
CaVE proposes a novel approach for end-to-end training in binary linear programs, aligning cost vectors to optimal subcones efficiently.
CaVE: A Cone-Aligned Approach for Fast Predict-then-optimize with Binary Linear Programs
CaVE proposes a novel approach for efficient end-to-end training of ML models to predict cost coefficients of binary linear optimization problems, achieving a favorable trade-off between training time and solution quality.
เกี่ยวกับ
ผลิตภัณฑ์ | แหล่งข้อมูล
© 2024 by Linnk AI