· ai
[Paper] Approximate Optimal Active Learning of Decision Trees
We consider the problem of actively learning an unknown binary decision tree using only membership queries, a setting in which the learner must reason about a l...
We consider the problem of actively learning an unknown binary decision tree using only membership queries, a setting in which the learner must reason about a l...
Despite the notable success of graph convolutional networks (GCNs) in skeleton-based action recognition, their performance often depends on large volumes of lab...