505 search results - page 11 / 101 » Importance weighted active learning |
MLMI
2007
Springer
14 years 1 months ago
2007
Springer
This paper explores the issue of term-weighting in the genre of spontaneous, multi-party spoken dialogues, with the intent of using such term-weights in the creation of extractive ...
ECML
2005
Springer
14 years 1 months ago
2005
Springer
Active selection of good training examples is an important approach to reducing data-collection costs in machine learning; however, most existing methods focus on maximizing classi...
MICAI
2004
Springer
14 years 25 days ago
2004
Springer
We present an optimization algorithm that combines active learning and locally-weighted regression to find extreme points of noisy and complex functions. We apply our algorithm to...
EUROCOLT
1997
Springer
13 years 11 months ago
1997
Springer
Most of the work on the Vapnik-Chervonenkis dimension of neural networks has been focused on feedforward networks. However, recurrent networks are also widely used in learning app...
PVLDB
2010
13 years 5 months ago
2010
A Business Process (BP for short) consists of a set of activities that achieve some business goal when combined in a flow. Among all the (maybe infinitely many) possible executi...