313 search results - page 1 / 63 » Hierarchical sampling for active learning |
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
We present an active learning scheme that exploits cluster structure in data.
ECML
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. We propose a novel active learning strategy based on the compression framework of [9] for label ranking functions which, given an input instance, predict a total order ov...
COLT
2008
Springer
13 years 6 months ago
2008
Springer
We describe and explore a new perspective on the sample complexity of active learning. In many situations where it was generally believed that active learning does not help, we sh...
JMLR
2012
11 years 7 months ago
2012
In this work, we propose a hierarchical latent dictionary approach to estimate the timevarying mean and covariance of a process for which we have only limited noisy samples. We fu...
ICML
2008
IEEE
14 years 5 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...