TY - GEN
T1 - Margin based active learning
AU - Balcan, Maria Fiorina
AU - Broder, Andrei
AU - Tong, Zhang
PY - 2007
Y1 - 2007
N2 - We present a framework for margin based active learning of linear separators. We instantiate it for a few important cases, some of which have been previously considered in the literature. We analyze the effectiveness of our framework both in the realizable case and in a specific noisy setting related to the Tsybakov small noise condition.
AB - We present a framework for margin based active learning of linear separators. We instantiate it for a few important cases, some of which have been previously considered in the literature. We analyze the effectiveness of our framework both in the realizable case and in a specific noisy setting related to the Tsybakov small noise condition.
UR - https://www.scopus.com/pages/publications/38049078541
U2 - 10.1007/978-3-540-72927-3_5
DO - 10.1007/978-3-540-72927-3_5
M3 - Conference Paper published in a book
AN - SCOPUS:38049078541
SN - 9783540729259
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 35
EP - 50
BT - Learning Theory - 20th Annual Conference on Learning Theory, COLT 2007, Proceedings
PB - Springer Verlag
T2 - 20th Annual Conference on Learning Theory, COLT 2007
Y2 - 13 June 2007 through 15 June 2007
ER -
