aDMSCN
Author:
Affiliation:
1. Ant Group, Hangzhou, China
2. Beihang University, Beijing, China
3. Shanghai Jiaotong University, Shanghai, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3340531.3412683
Reference35 articles.
1. Jaume Amores. 2013. Multiple instance classification: Review taxonomy and comparative study. Artificial intelligence Vol. 201 (2013) 81--105. Jaume Amores. 2013. Multiple instance classification: Review taxonomy and comparative study. Artificial intelligence Vol. 201 (2013) 81--105.
2. Jean Paul Barddal Heitor Murilo Gomes Fabrício Enembreck and Bernhard Pfahringer. [n.d.]. A survey on feature drift adaptation: Definition benchmark challenges and future directions. Journal of Systems & Software ([n. d.]) S0164121216301030. Jean Paul Barddal Heitor Murilo Gomes Fabrício Enembreck and Bernhard Pfahringer. [n.d.]. A survey on feature drift adaptation: Definition benchmark challenges and future directions. Journal of Systems & Software ([n. d.]) S0164121216301030.
3. Reinforcement Learning for User Intent Prediction in Customer Service Bots
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2. FinBrain 2.0: when finance meets trustworthy AI;Frontiers of Information Technology & Electronic Engineering;2022-09-30
3. Design possibilities and challenges of DNN models: a review on the perspective of end devices;Artificial Intelligence Review;2022-01-16
4. A Classification Based Ensemble Pruning Framework with Multi-metric Consideration;Lecture Notes in Networks and Systems;2021-08-04
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