Proceedings:
Book One
Volume
Issue:
Proceedings of the AAAI Conference on Artificial Intelligence, 17
Track:
SIGART/AAAI Doctoral Consortium
Downloads:
Abstract:
We present a novel approach to selective sampling, co-testing, which can be applied to problems with redundant views (i.e., problems with multiple disjoint sets of attributes that can be used for learning). The main idea behind co-testing consists of selecting the queries among the unlabeled examples on which the existing views disagree.
AAAI
Proceedings of the AAAI Conference on Artificial Intelligence, 17