1305 search results - page 10 / 261 » An Optimization Algorithm Based on Active and Instance-Based... |
JMLR
2012
11 years 9 months ago
2012
In this paper we address the problem of pool based active learning, and provide an algorithm, called UPAL, that works by minimizing the unbiased estimator of the risk of a hypothe...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Learning to rank is becoming an increasingly popular research area in machine learning. The ranking problem aims to induce an ordering or preference relations among a set of insta...
COLT
2005
Springer
14 years 28 days ago
2005
Springer
We start by showing that in an active learning setting, the Perceptron algorithm needs Ω( 1 ε2 ) labels to learn linear separators within generalization error ε. We then prese...
CORR
2007
Springer
13 years 7 months ago
2007
Springer
—We consider an agent interacting with an unmodeled environment. At each time, the agent makes an observation, takes an action, and incurs a cost. Its actions can influence futu...
ALT
2008
Springer
14 years 4 months ago
2008
Springer
In this paper we consider the problem of actively learning the mean values of distributions associated with a finite number of options (arms). The algorithms can select which opti...