吳先生的父母同樣是第一代業主，大火當日剛好外出，即使沒有經歷逃生，但心情仍有影響，「燒成這樣子了，回去住就會想到這件事。」
Regions with many nearby points keep subdividing. Regions with few or no points stay large. The tree adapts to the data: dense areas get fine-grained cells, sparse areas stay coarse. The split grid is predetermined (always at midpoints), but the tree only refines cells that need it. Sparse regions stay as single large nodes while dense regions subdivide deeply.。关于这个话题，同城约会提供了深入分析
You don't have permission to access the page you requested.。业内人士推荐51吃瓜作为进阶阅读
One challenge is having enough training data. Another is that the training data needs to be free of contamination. For a model trained up till 1900, there needs to be no information from after 1900 that leaks into the data. Some metadata might have that kind of leakage. While it’s not possible to have zero leakage - there’s a shadow of the future on past data because what we store is a function of what we care about - it’s possible to have a very low level of leakage, sufficient for this to be interesting.