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COLT
2010
Springer
13 years 6 months ago
On-line Variance Minimization in O(n2) per Trial?
Elad Hazan, Satyen Kale, Manfred K. Warmuth
ICML
2010
IEEE
13 years 6 months ago
Implicit Online Learning
Online learning algorithms have recently risen to prominence due to their strong theoretical guarantees and an increasing number of practical applications for large-scale data ana...
Brian Kulis, Peter L. Bartlett
NAACL
2010
13 years 6 months ago
Minimally-Supervised Extraction of Entities from Text Advertisements
Extraction of entities from ad creatives is an important problem that can benefit many computational advertising tasks. Supervised and semi-supervised solutions rely on labeled da...
Sameer Singh, Dustin Hillard, Chris Leggetter
ICML
2003
IEEE
14 years 9 months ago
Online Choice of Active Learning Algorithms
This paper is concerned with the question of how to online combine an ensemble of active learners so as to expedite the learning progress during a pool-based active learning sessi...
Yoram Baram, Ran El-Yaniv, Kobi Luz
ICML
2004
IEEE
14 years 9 months ago
Integrating constraints and metric learning in semi-supervised clustering
Mikhail Bilenko, Sugato Basu, Raymond J. Mooney