Diet Planning with Machine Learning: Teacher-forced REINFORCE for Composition Compliance with Nutrition Enhancement-Reference-Cited by-同舟云学术

Diet Planning with Machine Learning: Teacher-forced REINFORCE for Composition Compliance with Nutrition Enhancement

Published:2021-08-14 Issue: Volume: Page:
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Container-title:Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
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Author:

Lee Changhun¹,Kim Soohyeok¹,Lim Chiehyeon¹,Kim Jayun²,Kim Yeji²,Jung Minyoung²

Affiliation:

1. Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea

2. Kosin University Gospel Hospital, Busan, Republic of Korea

Funder

Institute of Information & communications Technology Planning & Evaluation (IITP)

Institute of Information & communications Technology Planning & Evaluation

Ministry of Science and ICT, South Korea

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3447548.3467201

Reference38 articles.

1. Samy Bengio Oriol Vinyals Navdeep Jaitly and Noam Shazeer. 2015. Scheduled sampling for sequence prediction with recurrent neural networks. In Advances in Neural Information Processing Systems. 1171--1179. Samy Bengio Oriol Vinyals Navdeep Jaitly and Noam Shazeer. 2015. Scheduled sampling for sequence prediction with recurrent neural networks. In Advances in Neural Information Processing Systems. 1171--1179.

2. Position of the Academy of Nutrition and Dietetics: Benchmarks for Nutrition in Child Care

3. Top-K Off-Policy Correction for a REINFORCE Recommender System

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