1344 search results - page 72 / 269 » Learning Classifiers from Semantically Heterogeneous Data |
SIGIR
2000
ACM
14 years 1 months ago
2000
ACM
This paper explores the use of hierarchical structure for classifying a large, heterogeneous collection of web content. The hierarchical structure is initially used to train diffe...
ICML
2004
IEEE
14 years 9 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...
OTM
2007
Springer
14 years 3 months ago
2007
Springer
The implementation of service-oriented device architectures (SODA) suffers from restrictions that are imposed by the use of existing syntactic technologies. Related problems includ...
ALT
2005
Springer
14 years 5 months ago
2005
Springer
This paper deals with an unusual phenomenon where most machine learning algorithms yield good performance on the training set but systematically worse than random performance on th...
AAAI
2010
13 years 10 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...