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Publication search results
found 64 matches
- 2023
- Gan Sun
, Yang Cong
, Changjun Gu
, Xu Tang, Zhengming Ding, Haibin Yu
:
Hierarchical Lifelong Machine Learning With "Watchdog". IEEE Trans. Big Data 9(1): 63-74 (2023) - Zeyu Yang
, Junhua Zheng
, Zhiqiang Ge
:
Lifelong Bayesian Learning Machines for Streaming Industrial Big Data. IEEE Trans. Syst. Man Cybern. Syst. 53(3): 1554-1565 (2023) - Sazia Mahfuz:
Generating Accurate Virtual Examples For Lifelong Machine Learning. CoRR abs/2302.14712 (2023) - Marco Eckhoff, Markus Reiher:
Lifelong Machine Learning Potentials. CoRR abs/2303.05911 (2023) - 2022
- Xianbin Hong:
Extensible and explainable lifelong machine learning architecture for double-track fine-grained sentiment analysis. University of Liverpool, UK, 2022 - Xiaoxia He
, Gulanbaier Tuerhong
, Mairidan Wushouer
, Dai Xin
:
Rumors Detection Based on Lifelong Machine Learning. IEEE Access 10: 25605-25620 (2022) - Shengqiang Chi, Yu Tian, Feng Wang, Tianshu Zhou, Shan Jin, Jingsong Li:
A novel lifelong machine learning-based method to eliminate calibration drift in clinical prediction models. Artif. Intell. Medicine 125: 102256 (2022) - Xuejing Zheng, Chao Yu
, Minjie Zhang
:
Lifelong reinforcement learning with temporal logic formulas and reward machines. Knowl. Based Syst. 257: 109650 (2022) - Dhireesha Kudithipudi, Mario Aguilar-Simon, Jonathan Babb, Maxim Bazhenov, Douglas Blackiston
, Josh C. Bongard
, Andrew P. Brna
, Suraj Chakravarthi Raja
, Nick Cheney, Jeff Clune, Anurag Reddy Daram
, Stefano Fusi
, Peter Helfer, Leslie Kay, Nicholas Ketz, Zsolt Kira
, Soheil Kolouri, Jeffrey L. Krichmar
, Sam Kriegman
, Michael Levin, Sandeep Madireddy, Santosh Manicka, Ali Marjaninejad
, Bruce McNaughton, Risto Miikkulainen
, Zaneta Navratilova, Tej Pandit, Alice Parker, Praveen K. Pilly
, Sebastian Risi, Terrence J. Sejnowski, Andrea Soltoggio
, Nicholas Soures, Andreas S. Tolias
, Darío Urbina-Meléndez
, Francisco J. Valero Cuevas
, Gido M. van de Ven
, Joshua T. Vogelstein
, Felix Wang, Ron Weiss
, Angel Yanguas-Gil
, Xinyun Zou
, Hava T. Siegelmann:
Biological underpinnings for lifelong learning machines. Nat. Mach. Intell. 4(3): 196-210 (2022) - Rebecca Adaimi
, Edison Thomaz
:
Lifelong Adaptive Machine Learning for Sensor-Based Human Activity Recognition Using Prototypical Networks. Sensors 22(18): 6881 (2022) - Phung Lai, Han Hu, Hai Phan, Ruoming Jin, My T. Thai, An M. Chen:
Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning. CoLLAs 2022: 778-797 - Omid Gheibi
, Danny Weyns
:
Lifelong Self-Adaptation: Self-Adaptation Meets Lifelong Machine Learning. SEAMS 2022: 1-12 - Sarath Chandar, Razvan Pascanu, Doina Precup:
Conference on Lifelong Learning Agents, CoLLAs 2022, 22-24 August 2022, McGill University, Montréal, Québec, Canada. Proceedings of Machine Learning Research 199, PMLR 2022 [contents] - Rebecca Adaimi, Edison Thomaz:
Lifelong Adaptive Machine Learning for Sensor-based Human Activity Recognition Using Prototypical Networks. CoRR abs/2203.05692 (2022) - Omid Gheibi, Danny Weyns:
Lifelong Self-Adaptation: Self-Adaptation Meets Lifelong Machine Learning. CoRR abs/2204.01834 (2022) - Jorge A. Mendez:
Lifelong Machine Learning of Functionally Compositional Structures. CoRR abs/2207.12256 (2022) - Phung Lai, Han Hu, NhatHai Phan, Ruoming Jin, My T. Thai, An M. Chen:
Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning. CoRR abs/2207.12831 (2022) - 2021
- Fei Mi:
Lifelong Machine Learning with Data Efficiency and Knowledge Retention. EPFL, Switzerland, 2021 - Xianbin Hong
, Sheng-Uei Guan, Prudence W. H. Wong, Nian Xue, Ka Lok Man, Dawei Liu, Zhen Li:
Lifelong Machine Learning-Based Quality Analysis for Product Review. AISS 2021: 89:1-89:5 - Xianbin Hong, Sheng-Uei Guan, Prudence W. H. Wong, Nian Xue, Ka Lok Man, Dawei Liu:
Can AI Teach Humans? Humans AI Collaboration for Lifelong Machine Learning. DSIT 2021: 427-432 - Charles X. Ling, Tanner A. Bohn:
A Deep Learning Framework for Lifelong Machine Learning. CoRR abs/2105.00157 (2021) - Xuejing Zheng, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo:
Lifelong Reinforcement Learning with Temporal Logic Formulas and Reward Machines. CoRR abs/2111.09475 (2021) - 2020
- Mohammad Rostami
, David Isele, Eric Eaton:
Using Task Descriptions in Lifelong Machine Learning for Improved Performance and Zero-Shot Transfer. J. Artif. Intell. Res. 67: 673-704 (2020) - Hashem Alyami, Abdullah Alharbi, Muhammad Irfan Uddin
:
Lifelong Machine Learning for Regional-Based Image Classification in Open Datasets. Symmetry 12(12): 2094 (2020) - Xianbin Hong
, Sheng-Uei Guan
, Ka Lok Man
, Prudence W. H. Wong
:
Lifelong Machine Learning Architecture for Classification. Symmetry 12(5): 852 (2020) - Tyler L. Hayes, Christopher Kanan:
Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis. CVPR Workshops 2020: 887-896 - Loïc Barrault, Magdalena Biesialska, Marta R. Costa-jussà, Fethi Bougares, Olivier Galibert:
Findings of the First Shared Task on Lifelong Learning Machine Translation. WMT@EMNLP 2020: 56-64 - 2019
- Gautam Pal
, Xianbin Hong
, Zhuo Wang, Hongyi Wu, Gangmin Li, Katie Atkinson:
Lifelong Machine Learning and root cause analysis for large-scale cancer patient data. J. Big Data 6: 108 (2019) - Marcin Luckner
:
Practical Web Spam Lifelong Machine Learning System with Automatic Adjustment to Current Lifecycle Phase. Secur. Commun. Networks 2019: 6587020:1-6587020:16 (2019) - Muhammad Hassan Arif
, Muhammad Iqbal, Jianxin Li:
Extracting and reusing blocks of knowledge in learning classifier systems for text classification: a lifelong machine learning approach. Soft Comput. 23(23): 12673-12682 (2019)
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