2090 search results - page 138 / 418 » Learning with attribute costs |
ICALT
2006
IEEE
14 years 3 months ago
2006
IEEE
Generally speaking, in the e-learning systems, a course is modeled as a graph, where each node represents a knowledge node (KU) and two nodes are connected to form a semantic netw...
COLING
2008
13 years 10 months ago
2008
Active learning is a proven method for reducing the cost of creating the training sets that are necessary for statistical NLP. However, there has been little work on stopping crit...
AAAI
1996
13 years 10 months ago
1996
This article advocates a new model for inductive learning. Called sequential induction, it helps bridge classical fixed-sample learning techniques (which are efficient but difficu...
ICML
2010
IEEE
13 years 10 months ago
2010
IEEE
Semi-supervised learning has emerged as a popular framework for improving modeling accuracy while controlling labeling cost. Based on an extension of stochastic composite likeliho...
ALT
2010
Springer
13 years 10 months ago
2010
Springer
We consider the problem of inferring the most likely social network given connectivity constraints imposed by observations of outbreaks within the network. Given a set of vertices ...