Open azhe825 opened 8 years ago
Active Learning with Clustering
Different scenarios of active learning:
Query strategy (how to measure the informativeness of an example):
Spectral clustering:
Hierarchical sampling for active learning
Sampling bias:
Build a hierarchical clustering Top down, sample from current leaves to query labels, sample less from purer leaves. (what if unbalanced?) Label clusters with majority labels observed Fit a classifier on the resulted data. (Why do we need this?) May query more labels around decision boundary
Active learning using pre-clustering
P(y|x)=P(y|k)*P(k|x)
Active Learning with Clustering
Hierarchical sampling for active learning
Active learning using pre-clustering