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CVPR
2007
IEEE
15 years 11 months ago
Practical Online Active Learning for Classification
We compare the practical performance of several recently proposed algorithms for active learning in the online classification setting. We consider two active learning algorithms (...
Claire Monteleoni, Matti Kääriäinen
KDD
2003
ACM
129views Data Mining» more  KDD 2003»
15 years 10 months ago
Online novelty detection on temporal sequences
: Novelty detection, or anomaly detection, on temporal sequences has increasingly attracted attention from researchers in different areas. In this paper, we present a new framework...
Junshui Ma, Simon Perkins
NIPS
2004
14 years 11 months ago
Stable adaptive control with online learning
Learning algorithms have enjoyed numerous successes in robotic control tasks. In problems with time-varying dynamics, online learning methods have also proved to be a powerful too...
Andrew Y. Ng, H. Jin Kim
CORR
2010
Springer
105views Education» more  CORR 2010»
14 years 10 months ago
Online Identification and Tracking of Subspaces from Highly Incomplete Information
This work presents GROUSE (Grassmanian Rank-One Update Subspace Estimation), an efficient online algorithm for tracking subspaces from highly incomplete observations. GROUSE requi...
Laura Balzano, Robert Nowak, Benjamin Recht
ECIR
2006
Springer
14 years 11 months ago
Clustering-Based Searching and Navigation in an Online News Source
The growing amount of online news posted on the WWW demands new algorithms that support topic detection, search, and navigation of news documents. This work presents an algorithm f...
Simón C. Smith, M. Andrea Rodríguez