7 search results - page 1 / 2 » Optimizing estimated loss reduction for active sampling in r... |
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...
ECIR
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Learning ranking functions is crucial for solving many problems, ranging from document retrieval to building recommendation systems based on an individual user’s prefer...
ICML
2001
IEEE
14 years 5 months ago
2001
IEEE
This paper presents an active learning method that directly optimizes expected future error. This is in contrast to many other popular techniques that instead aim to reduce versio...
ALT
2008
Springer
14 years 1 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...
TCS
2010
13 years 3 months ago
2010
We consider the problem of actively learning the mean values of distributions associated with a finite number of options. The decision maker can select which option to generate t...