Sensor Event Sequence Prediction for Proactive Smart Home Support Using Autoregressive Language Model

Author:

Takeda Naoto1,Legaspi Roberto1,Nishimura Yasutaka1,Ikeda Kazushi1,Minamikawa Atsunori1,Plötz Thomas2,Chernova Sonia2

Affiliation:

1. KDDI Research, Inc,Fujimino,Japan

2. School of Interactive Computing, College of Computing Georgia Institute of Technology,Atlanta,USA

Publisher

IEEE

Reference26 articles.

1. Mining Longest Repeating Subsequences to Predict World Wide Web Surfing;pitkow;Proc of the 2nd Conf on USENIX Symp on Internet Technologies and Systems - Volume 2,1999

2. XLNet: Generalized Autoregressive Pretraining for Language Understanding;yang;Advances in neural information processing systems,2019

3. Attention is All You Need;vaswani;Proc of the 31st Int’l Conf on Neural Information Processing Systems,2017

4. Long Short-Term Memory

5. Investigating Best Approaches for Activity Classification in a Fully Instrumented Smarthome Environment

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. ContextGPT: Infusing LLMs Knowledge into Neuro-Symbolic Activity Recognition Models;2024 IEEE International Conference on Smart Computing (SMARTCOMP);2024-06-29

2. A Synergistic Large Language Model and Supervised Learning Approach to Zero-Shot and Continual Activity Recognition in Smart Homes;2024 9th International Conference on Big Data Analytics (ICBDA);2024-03-16

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