530 search results - page 2 / 106 » Learning Bounds for Domain Adaptation |
108
Voted
KDD
2009
ACM
15 years 10 months ago
2009
ACM
When labeled examples are limited and difficult to obtain, transfer learning employs knowledge from a source domain to improve learning accuracy in the target domain. However, the...
IRMA
2000
14 years 11 months ago
2000
The on-line algorithms in machine learning are intended to discover unknown function of the domain based on incremental observing of it instance by instance. These algorithms have...
94
Voted
FOCS
1990
IEEE
15 years 2 months ago
1990
IEEE
Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...
81
Voted
EMNLP
2008
14 years 11 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...
80
Voted
OTM
2004
Springer
15 years 3 months ago
2004
Springer
Abstract. This paper presents a knowledge-based approach to eLearning, where the domain ontology plays central role as a resource structuring the learning content and supporting ï¬...