Results 121 to 130 of about 16,800,197 (383)
Meta-Learning Representations for Continual Learning [PDF]
A continual learning agent should be able to build on top of existing knowledge to learn on new data quickly while minimizing forgetting. Current intelligent systems based on neural network function approximators arguably do the opposite---they are highly prone to forgetting and rarely trained to facilitate future learning.
arxiv
Incubating service leaders at Lingnan University
原載於2017年3月27日《The Standard》。(只有英文) Originally published in The Standard 27th March 2017.
Office of Service-Learning, Lingnan University
core
The relation of length of material to time taken for learning, and the optimum distribution of time. Part III. [PDF]
Darwin Oliver Lyon
openalex +1 more source
Study Tour Africa-Brazil on Social - Promotion and Protection [PDF]
Study Tour, Africa-Brazil, Social, Promotion and ...
South-South Learning Unit
core
Faculty newsletter (Vol. 4, Iss. 1)
https://commons.ln.edu.hk/osl_faculty_news/1008/thumbnail ...
Office of Service-Learning, Lingnan University
core
Abstract Purpose Training deep learning dose prediction models for the latest cutting‐edge radiotherapy techniques, such as AI‐based nodal radiotherapy (AINRT) and Daily Adaptive AI‐based nodal radiotherapy (DA‐AINRT), is challenging due to limited data.
Hui‐Ju Wang+5 more
wiley +1 more source
Lingnan University grooms social innovators
原載於2017年6月21日《The Standard》。(只有英文) Originally published in The Standard 21st June 2017.
Office of Service-Learning, Lingnan University
core