AAAI
2012
12 years 3 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 7 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 2 months 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 5 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 1 months 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...