221 search results - page 3 / 45 » Domain Adaptation for Statistical Classifiers |
143
Voted
JMLR
2012
13 years 3 months ago
2012
We study the prevalent problem when a test distribution differs from the training distribution. We consider a setting where our training set consists of a small number of sample d...
112
Voted
EMNLP
2008
15 years 2 months ago
2008
NLP tasks are often domain specific, yet systems can learn behaviors across multiple domains. We develop a new multi-domain online learning framework based on parameter combinatio...
95
Voted
CICLING
2001
Springer
15 years 5 months ago
2001
Springer
The problem of document categorization is considered. The set of domains and the keywords specific for these domains is supposed to be selected beforehand as initial data. We apply...
113
Voted
KDD
2004
ACM
16 years 1 months ago
2004
ACM
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
106
Voted
CORR
1999
Springer
15 years 23 days ago
1999
Springer
: Integrating the outputs of multiple classifiers via combiners or meta-learners has led to substantial improvements in several difficult pattern recognition problems. In this arti...