IJON
2010
13 years 11 months ago
2010
An active learner usually assumes there are some labeled data available based on which a moderate classifier is learned and then examines unlabeled data to manually label the mos...
TIP
2008
14 years 8 days ago
2008
Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extensio...
ML
2007
ACM
14 years 10 days ago
2007
ACM
Which active learning methods can we expect to yield good performance in learning binary and multi-category logistic regression classifiers? Addressing this question is a natural ...
IJON
2007
14 years 22 days ago
2007
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples and thereby increase speed a...
SIGIR
2008
ACM
14 years 22 days ago
2008
ACM
Collaborative Filtering (CF) requires user-rated training examples for statistical inference about the preferences of new users. Active learning strategies identify the most infor...
SIGCSE
2008
ACM
14 years 22 days ago
2008
ACM
act. Since 2003, ERIC has indexed 1,2, 6, and 13 articles in successive years; there were 9 in the first 5 months of 2007. Keywords Cooperative learning, wiki, active learning
PAMI
2006
14 years 23 days ago
2006
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
PRL
2008
14 years 23 days ago
2008
We consider an active learning game within a transductive learning model. A major problem with many active learning algorithms is that an unreliable current hypothesis can mislead...
NN
2008
Springer
14 years 23 days ago
2008
Springer
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
JMLR
2006
14 years 24 days ago
2006
The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...