505 search results - page 6 / 101 » Importance weighted active learning |
SIGKDD
2010
13 years 2 months ago
2010
Despite the tremendous level of adoption of machine learning techniques in real-world settings, and the large volume of research on active learning, active learning techniques hav...
ECAI
2008
Springer
13 years 9 months ago
2008
Springer
Online multiplicative weight-update learning algorithms, such as Winnow, have proven to behave remarkably for learning simple disjunctions with few relevant attributes. The aim of ...
IJON
2007
13 years 7 months ago
2007
Intrinsic plasticity (IP) refers to a neuron’s ability to regulate its firing activity by adapting its intrinsic excitability. Previously, we showed that model neurons combinin...
JMLR
2012
11 years 10 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...
FLAIRS
2007
13 years 9 months ago
2007
Using information from failures to guide subsequent search is an important technique for solving combinatorial problems in domains such as boolean satisfiability (SAT) and constr...