40 search results - page 1 / 8 » A Comparison of Models for Cost-Sensitive Active Learning |
COLING
2010
12 years 11 months ago
2010
Active Learning (AL) is a selective sampling strategy which has been shown to be particularly cost-efficient by drastically reducing the amount of training data to be manually ann...
IJCV
2011
12 years 11 months ago
2011
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
SDM
2010
SIAM
13 years 6 months ago
2010
SIAM
We present Confidence-based Feature Acquisition (CFA), a novel supervised learning method for acquiring missing feature values when there is missing data at both training and test...
EMNLP
2008
13 years 6 months ago
2008
Active learning is well-suited to many problems in natural language processing, where unlabeled data may be abundant but annotation is slow and expensive. This paper aims to shed ...
MMS
2006
13 years 4 months ago
2006
Searching and organizing growing digital music collections requires a computational model of music similarity. This paper describes a system for performing flexible music similarit...