AAAI
2012
12 years 1 months ago
2012
To solve the sparsity problem in collaborative filtering, researchers have introduced transfer learning as a viable approach to make use of auxiliary data. Most previous transfer...
ACCV
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. We propose a novel unsupervised transfer learning framework that utilises unlabelled auxiliary data to quantify and select the most relevant transferrable knowledge for r...
AAAI
2010
14 years 29 days ago
2010
Data sparsity is a major problem for collaborative filtering (CF) techniques in recommender systems, especially for new users and items. We observe that, while our target data are...
ISCA
2010
IEEE
14 years 4 months ago
2010
IEEE
Over the past decade there has been a surge of academic and industrial interest in optimistic concurrency, i.e. the speculative parallel execution of code regions that have the se...
ICML
2004
IEEE
15 years 9 days ago
2004
IEEE
The standard model of supervised learning assumes that training and test data are drawn from the same underlying distribution. This paper explores an application in which a second...