963 search results - page 30 / 193 » Active Learning by Labeling Features |
COLT
2010
Springer
13 years 6 months ago
2010
Springer
We present a new online learning algorithm in the selective sampling framework, where labels must be actively queried before they are revealed. We prove bounds on the regret of ou...
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
In this paper, we present a robust feature extraction framework based on informationtheoretic learning. Its formulated objective aims at simultaneously maximizing the Renyi's...
CRV
2011
IEEE
12 years 8 months ago
2011
IEEE
—Motion information is an important cue for a robot to separate foreground moving objects from the static background world. Based on the observation that the motion of the backgr...
CIKM
2008
Springer
13 years 10 months ago
2008
Springer
Proactive learning is a generalization of active learning designed to relax unrealistic assumptions and thereby reach practical applications. Active learning seeks to select the m...
ICML
2003
IEEE
14 years 9 months ago
2003
IEEE
A new kernel function between two labeled graphs is presented. Feature vectors are defined as the counts of label paths produced by random walks on graphs. The kernel computation ...