[HTML][HTML] A review of thermal comfort in primary schools and future challenges in machine learning based prediction for children
B Lala, A Hagishima - Buildings, 2022 - mdpi.com
Children differ from adults in their physiology and cognitive ability. Thus, they are extremely
vulnerable to classroom thermal comfort. However, very few reviews on the thermal comfort …
vulnerable to classroom thermal comfort. However, very few reviews on the thermal comfort …
Metadata-based multi-task bandits with bayesian hierarchical models
How to explore efficiently is a central problem in multi-armed bandits. In this paper, we
introduce the metadata-based multi-task bandit problem, where the agent needs to solve a …
introduce the metadata-based multi-task bandit problem, where the agent needs to solve a …
Task compass: Scaling multi-task pre-training with task prefix
Leveraging task-aware annotated data as supervised signals to assist with self-supervised
learning on large-scale unlabeled data has become a new trend in pre-training language …
learning on large-scale unlabeled data has become a new trend in pre-training language …
Advances and Challenges of Multi-task Learning Method in Recommender System: A Survey
M Zhang, R Yin, Z Yang, Y Wang, K Li - arXiv preprint arXiv:2305.13843, 2023 - arxiv.org
Multi-task learning has been widely applied in computational vision, natural language
processing and other fields, which has achieved well performance. In recent years, a lot of …
processing and other fields, which has achieved well performance. In recent years, a lot of …
[HTML][HTML] Multi-task learning for concurrent prediction of thermal comfort, sensation and preference in winters
Indoor thermal comfort immensely impacts the health and performance of occupants.
Therefore, researchers and engineers have proposed numerous computational models to …
Therefore, researchers and engineers have proposed numerous computational models to …
Towards edge-cloud collaborative machine learning: A quality-aware task partition framework
Edge-cloud collaborative tasks with real-world services emerge in recent years and attract
worldwide attention. Unfortunately, state-of-the-art edge-cloud collaborative machine …
worldwide attention. Unfortunately, state-of-the-art edge-cloud collaborative machine …
An edge based data-driven chiller sequencing framework for HVAC electricity consumption reduction in commercial buildings
It is well-known that the HVAC (heating, ventilation, and air conditioning) dominates
electricity consumption in commercial buildings. In this paper, we focus on one of the core …
electricity consumption in commercial buildings. In this paper, we focus on one of the core …
Contextual anomaly detection in solder paste inspection with multi-task learning
In this article, we study solder paste inspection (SPI), an important stage that is used in the
semiconductor manufacturing industry, where abnormal boards should be detected. A highly …
semiconductor manufacturing industry, where abnormal boards should be detected. A highly …
Multi-agent policy transfer via task relationship modeling
Team adaptation to new cooperative tasks is a hallmark of human intelligence, which has
yet to be fully realized in learning agents. Previous work on multi-agent transfer learning …
yet to be fully realized in learning agents. Previous work on multi-agent transfer learning …
Towards lifelong thermal comfort prediction with KubeEdge-sedna: Online multi-task learning with metaknowledge base
Thermal comfort, achieved by estimating the thermal sensation of occupants, has long been
an important research topic. Numerous data-driven models and systems have been …
an important research topic. Numerous data-driven models and systems have been …