GitHub

This paper has been accepted by the 15th International Conference on Knowledge Science, Engineering and Management (KSEM 2022).

We aim to predict parking occupancy under data-deficient conditions, and weconducted an experiment on 34 parking lots in Guangzhou City, China.

The approach and the experiment have been improved. For more detail, please refer to ALL.

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
members		members
result		result
target		target
CLL.py		CLL.py
MyFunction.py		MyFunction.py
MyNet.py		MyNet.py
README.md		README.md
RL_Sampling.py		RL_Sampling.py
baseline.py		baseline.py
count.csv		count.csv
count.py		count.py
information.csv		information.csv
meta_learner.py		meta_learner.py
read_dataset.py		read_dataset.py
requirement.txt		requirement.txt
selector.py		selector.py
selector_training.py		selector_training.py
time_series_features.csv		time_series_features.csv

Provide feedback