221 search results - page 43 / 45 » Learning from Labeled and Unlabeled Data Using Random Walks |
COLING
2010
13 years 2 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...
AAAI
2008
13 years 10 months ago
2008
This paper highlights the crucial role that modern machine learning techniques can play in the optimization of treatment strategies for patients with chronic disorders. In particu...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
This work introduces a new family of link-based dissimilarity measures between nodes of a weighted directed graph. This measure, called the randomized shortest-path (RSP) dissimil...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
Unsupervised clustering can be significantly improved using supervision in the form of pairwise constraints, i.e., pairs of instances labeled as belonging to same or different clu...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Clustering data in high dimensions is believed to be a hard problem in general. A number of efficient clustering algorithms developed in recent years address this problem by proje...